Journal: IEEE/ACM Trans. Comput. Biology Bioinform.

Volume 20, Issue 6

3329 -- 3331Zhipeng Cai 0001, Min Li 0007, Pavel Skums, Yanjie Wei. Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications
3332 -- 3342Hunmin Lee, Mingon Kang, Donghyun Kim 0001, Daehee Seo, Yingshu Li. Epidemic Vulnerability Index for Effective Vaccine Distribution Against Pandemic
3343 -- 3352Qing Zhao 0005, JianQiang Li, Linna Zhao, Zhichao Zhu. Knowledge Guided Feature Aggregation for the Prediction of Chronic Obstructive Pulmonary Disease With Chinese EMRs
3353 -- 3362Yueyue Wang, Xiujuan Lei, Yi Pan. Microbe-Disease Association Prediction Using RGCN Through Microbe-Drug-Disease Network
3363 -- 3375Wei Peng 0004, Zicheng Che, Wei Dai, Shoulin Wei, Wei Lan. Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model
3376 -- 3388Sarwan Ali, Bikram Sahoo, Muhammad Asad Khan, Alexander Zelikovsky, Imdadullah Khan, Murray Patterson. Efficient Approximate Kernel Based Spike Sequence Classification
3389 -- 3398Yuxia Guan, Ying An, Jingrui Xu, Ning Liu, Jianxin Wang 0001. HA-ResNet: Residual Neural Network With Hidden Attention for ECG Arrhythmia Detection Using Two-Dimensional Signal
3399 -- 3410Qiang Li, Hong Song, Zenghui Wei, Fengbo Yang, Jingfan Fan, Danni Ai, Yucong Lin, Xiaoling Yu, Jian Yang 0009. Densely Connected U-Net With Criss-Cross Attention for Automatic Liver Tumor Segmentation in CT Images
3411 -- 3420Zhilong Lv, Yuexiao Lin, Rui Yan, Ying Wang 0043, Fa Zhang 0001. TransSurv: Transformer-Based Survival Analysis Model Integrating Histopathological Images and Genomic Data for Colorectal Cancer
3421 -- 3429Cheng Chen, Yuguo Zha, Daming Zhu, Kang Ning 0001, Xuefeng Cui. ContactLib-ATT: A Structure-Based Search Engine for Homologous Proteins
3430 -- 3439Jiamin Chen, Jianliang Gao, Tengfei Lyu, Oloulade Babatounde Moctard, Xiaohua Hu 0001. AutoMSR: Auto Molecular Structure Representation Learning for Multi-label Metabolic Pathway Prediction
3440 -- 3450Hong-Dong Li, Chao Deng, Xiao-qi Zhang, Cui-Xiang Lin. A Gene Set-Integrated Approach for Predicting Disease-Associated Genes
3451 -- 3460Haitao Fu, Cecheng Zhao, Xiaohui Niu, Wen Zhang 0008. DRLM: A Robust Drug Representation Learning Method and its Applications
3461 -- 3468Yurong Qian, Jingjing Zheng, Ying Jiang, Shaoqiu Li, Lei Deng 0002. Prediction of circRNA-MiRNA Association Using Singular Value Decomposition and Graph Neural Networks
3469 -- 3481Enhao Cheng, Jun Zhao, Hong Wang 0015, Shuguang Song, Shuxian Xiong, Yanshen Sun. Dual Network Contrastive Learning for Predicting Microbe-Disease Associations
3482 -- 3488Tiansu Gong, Fusong Ju, Shiwei Sun, Dongbo Bu. SASA-Net: A Spatial-Aware Self-Attention Mechanism for Building Protein 3D Structure Directly From Inter- Residue Distances
3489 -- 3498Huan Wang 0005, Ruigang Liu, Baijing Wang, Yifan Hong, Ziwen Cui, Qiufen Ni. Multitype Perception Method for Drug-Target Interaction Prediction
3499 -- 3510Qingqing Cao, Jianping Zhao 0001, Hai-Yun Wang, Qi Guan, Chun-Hou Zheng 0001. An Integrated Method Based on Wasserstein Distance and Graph for Cancer Subtype Discovery
3511 -- 3522Abhijit Mondal, Mukul S. Bansal. Generalizing the Domain-Gene-Species Reconciliation Framework to Microbial Genes and Domains
3523 -- 3534Han Zhang, Zexuan Zhu, Hui Li, Shan He 0001. Network Biomarker Detection From Gene Co-Expression Network Using Gaussian Mixture Model Clustering
3535 -- 3546Wenming Wu, Wensheng Zhang 0002, Weimin Hou, Xiaoke Ma. Multi-View Clustering With Graph Learning for scRNA-Seq Data
3547 -- 3555Dayun Liu, Xianghui Li, LiangLiang Zhang, Xiaowen Hu, Jiaxuan Zhang, Zhirong Liu, Lei Deng 0002. HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural Network
3556 -- 3566Jing Yang, Zhengshu Lu, Xu Chen, Deling Xu, Dewu Ding, Yanrui Ding. GCNA-Cluster: A Gene Co-Expression Network Alignment to Cluster Cancer Patients Algorithm for Identifying Subtypes of Pancreatic Ductal Adenocarcinoma
3567 -- 3574Baoli Jia, Qingfang Meng, Yuehui Chen, Hongri Yang. Prediction of Membrane Protein Amphiphilic Helix Based on Horizontal Visibility Graph and Graph Convolution Network
3575 -- 3587Kayode Yakub Saheed, Bukola Fatimah Balogun, Braimah Joseph Odunayo, Mustapha Abdulsalam. Microarray Gene Expression Data Classification via Wilcoxon Sign Rank Sum and Novel Grey Wolf Optimized Ensemble Learning Models
3588 -- 3599Yinyin Gong, Rui Li, Bin Fu, Yan Liu 0032, Jilong Wang 0002, Renfa Li, Danny Z. Chen. A CNN-LSTM Ensemble Model for Predicting Protein-Protein Interaction Binding Sites
3600 -- 3608Xin Wang, Jie Li 0055, Guohua Wang. MicroRNA Promoter Identification in Human With a Three-level Prediction Method
3609 -- 3622Yahui Cao, Tao Zhang 0025, Xin Zhao 0006, Xue Jia, Bingzhi Li. MooSeeker: A Metabolic Pathway Design Tool Based on Multi-Objective Optimization Algorithm
3623 -- 3634Taoning Chen, Tingfang Wu, Deng Pan, Jinxing Xie, Jin Zhi, Xuejiao Wang, Lijun Quan, Qiang Lyu. TransRNAm: Identifying Twelve Types of RNA Modifications by an Interpretable Multi-Label Deep Learning Model Based on Transformer
3635 -- 3647Weizhong Zhao, Wenjie Yao, Xingpeng Jiang, Tingting He 0003, Chuan Shi, Xiaohua Hu 0001. An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network
3648 -- 3659Farnaz Sabahi. A Design of mRNA-Based COVID-19 Vaccine Through Fuzzy Neural Network
3660 -- 3668Pedro Martínez-Paz, Javier Gomez-Pilar, Marta Martín-Fernández, Francisco C. Ceballos, Esther Gómez-Sánchez, Roberto Hornero, Eduardo Tamayo. Gene Co-Expression Networks Offer New Perspectives on Sepsis Pathophysiology
3669 -- 3680Ran Liu, Ye-Fan Hu, Jin Du, Bao-Zhong Zhang, Thomas Yau, Xiaodan Fan, Jian-Dong Huang. Family-Specific Training Improves Linear B Cell Epitope Prediction for Emerging Viruses
3681 -- 3690Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini. A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs
3691 -- 3702Azwad Tamir, Milad Salem, Jiann-shiun Yuan. ProtEC: A Transformer Based Deep Learning System for Accurate Annotation of Enzyme Commission Numbers
3703 -- 3714Chun-Pang Lin, Yajie Duan, Davit Sargsyan, Javier Cabrera, Christine M. Livingston, Robert Vogel, John Hartman, Mayukh Das, Willem Talloen, Helena Geys, Evangelos D. Kanoulas, Surya Mohanty. Automated Spot Counting in Microbiology
3715 -- 3724Haochen Zhao, Ruihong Du, Ruikang Zhou, Suning Li, Guihua Duan, Jianxin Wang 0001. SCN-MLTPP: A Multi-Label Classifier for Predicting Therapeutic Properties of Peptides Using the Stacked Capsule Network
3725 -- 3736Xiaojian Ding, Fan Yang 0071, Fumin Ma, Shilin Chen. A Unified Multi-Class Feature Selection Framework for Microarray Data
3737 -- 3747Jin-Xing Liu, Dai-Jun Zhang, Jing-Xiu Zhao, Chun-Hou Zheng 0001, Ying-Lian Gao. Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data
3748 -- 3758Takeyuki Tamura. MetNetComp: Database for Minimal and Maximal Gene-Deletion Strategies for Growth-Coupled Production of Genome-Scale Metabolic Networks
3759 -- 3771Xue Liu, Qian Cheng, Dan Sun, Wei Wei 0020, Zhiming Zheng 0001. Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification
3772 -- 3785Lijia Ma, Wenwei Deng, Yuan Bai, Zhanwei Du, Minfeng Xiao, Lin Wang 0012, Jianqiang Li 0001, Asoke K. Nandi. Identifying Phage Sequences From Metagenomic Data Using Deep Neural Network With Word Embedding and Attention Mechanism
3786 -- 3799Md. Al Mehedi Hasan, Md. Maniruzzaman, Jungpil Shin 0001. Gene Expression and Metadata Based Identification of Key Genes for Hepatocellular Carcinoma Using Machine Learning and Statistical Models
3800 -- 3808Hyunwook Koh. Subgroup Identification Using Virtual Twins for Human Microbiome Studies
3809 -- 3819Likun Jiang, Nan Sun, Yue Zhang, Xinyu Yu, Xiangrong Liu. Bioactive Peptide Recognition Based on NLP Pre-Train Algorithm
3820 -- 3829Yuguang Li, Shuai Lu, Qiang Ma, Xiaofei Nan, Shoutao Zhang. Protein-Protein Interaction Site Prediction Based on Attention Mechanism and Convolutional Neural Networks
3830 -- 3841Xingxing Zhou, Ming Ling, Qingde Lin, Shidi Tang, Jiansheng Wu, Haifeng Hu 0004. Effectiveness Analysis of Multiple Initial States Simulated Annealing Algorithm, a Case Study on the Molecular Docking Tool AutoDock Vina
3842 -- 3850Aryan Tajmir Riahi, Geoffrey Woollard, Frédéric Poitevin, Anne Condon, Khanh Dao Duc. AlignOT: An Optimal Transport Based Algorithm for Fast 3D Alignment With Applications to Cryogenic Electron Microscopy Density Maps
3851 -- 3862Xiaoyu Guan, Daoqiang Zhang. T-MGCL: Molecule Graph Contrastive Learning Based on Transformer for Molecular Property Prediction
3863 -- 3875Baoquan Zhang, Chuyao Luo, Hao Jiang, Shanshan Feng, Xutao Li, Bowen Zhang 0005, Yunming Ye. Adaptive Transfer of Graph Neural Networks for Few-Shot Molecular Property Prediction
3876 -- 3888Liyun Tong, Jinling Liang, Hong-xiang Hu. Fault Detectability of Asynchronous Switched Boolean Networks: A Set Reachability Approach
3889 -- 3900Cunmei Ji, Ning Yu, Yu-Tian Wang, Rong Qi, Chun-Hou Zheng 0001. An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis

Volume 20, Issue 5

2610 -- 2618Mei-Neng Wang, Xue-Jun Xie, Zhu-Hong You, Leon Wong, Li-ping Li, Zhan-Heng Chen. Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations
2619 -- 2628Shixuan Guan, Quan Zou 0001, Hongjie Wu, Yijie Ding. Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction
2629 -- 2638Zheng-Wei Li, Qiankun Wang, Chang-an Yuan 0001, Pengyong Han, Zhu-Hong You, Lei Wang 0121. Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks
2639 -- 2646Chengxi Huang, Wei Wang 0357, Xin Zhang, Shui-Hua Wang, Yudong Zhang 0001. Tuberculosis Diagnosis Using Deep Transferred EfficientNet
2647 -- 2658Qing Ye, Xiaolong Zhang 0002, Xiaoli Lin. Drug-Target Interaction Prediction via Graph Auto-Encoder and Multi-Subspace Deep Neural Networks
2659 -- 2670Shanshan Wang 0002, Ruoyou Wu, Cheng Li 0008, Juan Zou, Ziyao Zhang, Qiegen Liu, Yan-xi, Hairong Zheng. PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging
2671 -- 2680Seokwoo Lee, Wook Lee, Shulei Ren, Byungkyu Park, Kyungsook Han. Constructing Integrative ceRNA Networks and Finding Prognostic Biomarkers in Renal Cell Carcinoma
2681 -- 2689Xinguo Lu, Guanyuan Chen, Jinxin Li, Xiangjin Hu, Fengxu Sun. MAGCN: A Multiple Attention Graph Convolution Networks for Predicting Synthetic Lethality
2690 -- 2699Qinhu Zhang, Youhong Xu, Siguo Wang, Yong Wu, Yuannong Ye, Chang-an Yuan 0001, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang. Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information
2700 -- 2711Abbas Saad Alatrany, Wasiq Khan, Abir Jaafar Hussain, Jamila Mustafina, Dhiya Al-Jumeily. Transfer Learning for Classification of Alzheimer's Disease Based on Genome Wide Data
2712 -- 2723Haochen Zhao, Guihua Duan, Peng Ni, Cheng Yan, Yaohang Li, Jianxin Wang 0001. RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association
2724 -- 2735Wuli Xu, Lei Duan, Huiru Zheng, Jesse Li-Ling, Weipeng Jiang, Yidan Zhang, Tingting Wang, Ruiqi Qin 0001. An Integrative Disease Information Network Approach to Similar Disease Detection
2736 -- 2747Kevin Sutanto, Marcel Turcotte. Assessing Global-Local Secondary Structure Fingerprints to Classify RNA Sequences With Deep Learning
2748 -- 2758Wei Peng 0004, Ming Liu, Wei Dai, Tielin Chen, Yu Fu, Yi Pan 0001. Multi-View Feature Aggregation for Predicting Microbe-Disease Association
2759 -- 2771Ahmed Bin Zaman, Toki Tahmid Inan, Kenneth A. De Jong, Amarda Shehu. Adaptive Stochastic Optimization to Improve Protein Conformation Sampling
2772 -- 2780Xiaoshuai Zhang, Lixin Wang, Hucheng Liu, Xiaofeng Zhang, Bo Liu, Yadong Wang, Junyi Li. Prot2GO: Predicting GO Annotations From Protein Sequences and Interactions
2781 -- 2789Jiatao Chen, Liang Zhang 0031, Ke Cheng, Bo Jin 0001, Xinjiang Lu, Chao Che. Predicting Drug-Target Interaction Via Self-Supervised Learning
2790 -- 2801Jing Sun, Li Pan, Bin Li, Haoyue Wang, Bo Yang 0036, Wenbin Li 0005. A Construction Method of Dynamic Protein Interaction Networks by Using Relevant Features of Gene Expression Data
2802 -- 2809He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng 0001, Han Zhang. A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data
2810 -- 2826Nan Sheng, Lan Huang 0002, Ling Gao, Yangkun Cao, Xuping Xie, Yan Wang 0028. A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction
2827 -- 2836Ji Lv, Guixia Liu, Yuan Ju, Houhou Huang, Ying Sun. AADB: A Manually Collected Database for Combinations of Antibiotics With Adjuvants
2837 -- 2852Yeganeh Madadi, Aboozar Monavarfeshani, Hao Chen 0007, W. Daniel Stamer, Robert W. Williams, Siamak Yousefi. Artificial Intelligence Models for Cell Type and Subtype Identification Based on Single-Cell RNA Sequencing Data in Vision Science
2853 -- 2861Zhen Gao, Jin Tang 0001, Junfeng Xia, Chun-Hou Zheng 0001, Pi-Jing Wei. CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression Data
2862 -- 2873Yu Cao, Wenya Pi, Chun-Yu Lin 0003, Ulrike Münzner, Masahiro Ohtomo, Tatsuya Akutsu. Common Attractors in Multiple Boolean Networks
2874 -- 2888Ze-Gang Wei, Xu Chen, Xiao-dan Zhang, Hao Zhang, Xing-Guo Fan, Hongyan Gao, Fei Liu, Yu Qian. Comparison of Methods for Biological Sequence Clustering
2889 -- 2897Nikolai Romashchenko, Benjamin Linard, Eric Rivals, Fabio Pardi. Computing Phylo-$k$k-Mers
2898 -- 2906Nian-Nian Liu, Ze-Qun Zhang, Yanan Wu, Ying-Long Wang, Ying Liang. CRBSP:Prediction of CircRNA-RBP Binding Sites Based on Multimodal Intermediate Fusion
2907 -- 2919Fan Zhang 0028, Yawei Zhang, Xiaoke Zhu, Xiaopan Chen, Fuhao Lu, Xinhong Zhang. DeepSG2PPI: A Protein-Protein Interaction Prediction Method Based on Deep Learning
2920 -- 2932Visweswaran Ravikumar, Tong Xu, Wajd N. Al-Holou, Salar Fattahi, Arvind Rao. Efficient Inference of Spatially-Varying Gaussian Markov Random Fields With Applications in Gene Regulatory Networks
2933 -- 2944Bo Zhao, Jun Bai, Chen Li, Jianfei Zhang, Wenge Rong, Yuanxin Ouyang, Zhang Xiong 0001. Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples
2945 -- 2958Wenhui Tu, Guang Ling, Feng Liu 0011, Fuyan Hu, Xiangxiang Song. GCSTI: A Single-Cell Pseudotemporal Trajectory Inference Method Based on Graph Compression
2959 -- 2969Suha Tuna, Cagri Gulec, Emrah Yucesan, Ayse Cirakoglu, Yelda Tarkan Arguden. Gene Teams are on the Field: Evaluation of Variants in Gene-Networks Using High Dimensional Modelling
2970 -- 2980Masataka Ohashi, Shin-ichi Maeda, Chikara Sato. Helical Three Dimensional Reconstruction Using Bayesian Optimization for Cryogenic Electron Microscopy
2981 -- 2991Satyaki Roy, Pratyay Dutta, Preetam Ghosh. Hierarchical Vaccine Allocation Based on Epidemiological and Behavioral Considerations
2992 -- 3000Yanfen Zheng, Ben Cao, Jieqiong Wu, Bin Wang 0005, Qiang Zhang 0008. High Net Information Density DNA Data Storage by the MOPE Encoding Algorithm
3001 -- 3012Jiefu Li, Aman Sawhney, Jung-Youn Lee, Li Liao. Improving Inter-Helix Contact Prediction With Local 2D Topological Information
3013 -- 3019Wenxiang Zhang, Bin Liu 0014. iSnoDi-MDRF: Identifying snoRNA-Disease Associations Based on Multiple Biological Data by Ranking Framework
3020 -- 3032Jingfen Lan, Wenxiang Chen, Ganggang Yin, Haque A. K. Alvi, Kun Xie, Qiang Yu 0003, Xiguo Yuan. LDSSNV: A Linkage Disequilibrium-Based Method for the Detection of Somatic Single-Nucleotide Variants
3033 -- 3043Chengwei Ai, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo 0001. Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association
3044 -- 3055Tianyu Wu, Yang Tang, Qiyu Sun, Luolin Xiong. Molecular Joint Representation Learning via Multi-Modal Information of SMILES and Graphs
3056 -- 3067Qiaoming Liu, Dong Wang, Li Zhou, Jie Li 0055, Guohua Wang. MTGDC: A Multi-Scale Tensor Graph Diffusion Clustering for Single-Cell RNA Sequencing Data
3068 -- 3079Xinyu Zhu, Weiming Lu 0001. Multi-Label Classification With Dual Tail-Node Augmentation for Drug Repositioning
3080 -- 3092Zhihao Ma, Zhufang Kuang, Lei Deng 0002. NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-miRNA Interactions
3093 -- 3105Richard Bailey, Aisharjya Sarkar, Aaditya Singh, Alin Dobra, Tamer Kahveci. Optimal Supervised Reduction of High Dimensional Transcription Data
3106 -- 3116Shouzhi Chen, Yanhong Liao, Jianping Zhao 0001, Yannan Bin, Chun-Hou Zheng 0001. PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation
3117 -- 3127Isaac Furtney, Ray M. Bradley, Mansur R. Kabuka. Patient Graph Deep Learning to Predict Breast Cancer Molecular Subtype
3128 -- 3138Zihao Chen, Nan Liu, Yang Huang, Xiaoping Min, Xiangxiang Zeng, Shengxiang Ge, Jun Zhang, Ning-Shao Xia. PointDE: Protein Docking Evaluation Using 3D Point Cloud Neural Network
3139 -- 3153Rubén Langarita, Adrià Armejach, Pablo Ibáñez, Jesús Alastruey-Benedé, Miquel Moretó. Porting and Optimizing BWA-MEM2 Using the Fujitsu A64FX Processor
3154 -- 3162Li-Juan Qiao, Zhen Gao, Cunmei Ji, Zhi-hao Liu, Chun-Hou Zheng 0001, Yu-Tian Wang. Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization
3163 -- 3172Ibrahim Berber, Cesim Erten, Hilal Kazan. Predator: Predicting the Impact of Cancer Somatic Mutations on Protein-Protein Interactions
3173 -- 3181Yiran Huang, Zhihong Wu, Wei Lan, Cheng Zhong. 7G) Sites via Random Walk on Heterogeneous Network
3182 -- 3194Xin Luo 0001, Liwei Wang, Pengwei Hu, Lun Hu. Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder
3195 -- 3204Tuan D. Pham. Prediction of Five-Year Survival Rate for Rectal Cancer Using Markov Models of Convolutional Features of RhoB Expression on Tissue Microarray
3205 -- 3214Ying Zhang 0053, Fang Ge, Fuyi Li, Xibei Yang, Jiangning Song, Dong-jun Yu. Prediction of Multiple Types of RNA Modifications via Biological Language Model
3215 -- 3225Kanchan Jha, Sriparna Saha 0001, Sourav Karmakar. Prediction of Protein-Protein Interactions Using Vision Transformer and Language Model
3226 -- 3233Zhenyu Yue, Ying Xiang, Guojun Chen, Xiaosong Wang, Ke Li, Youhua Zhang. PredinID: Predicting Pathogenic Inframe Indels in Human Through Graph Convolution Neural Network With Graph Sampling Technique
3234 -- 3244Cheng-Bang Chen, Yujie Wang, Xuanya Fu, Hui Yang 0003. Recurrence Network Analysis of Histopathological Images for the Detection of Invasive Ductal Carcinoma in Breast Cancer
3245 -- 3256Xinxing Yang, GenKe Yang, Jian Chu. Self-Supervised Learning for Label Sparsity in Computational Drug Repositioning
3257 -- 3266Peng Chen 0001, Huimin Shen, Youzhi Zhang 0004, Bing Wang 0004, Pengying Gu. SGNet: Sequence-Based Convolution and Ligand Graph Network for Protein Binding Affinity Prediction
3267 -- 3277Deng-Yao Tu, Peng-Chan Lin, Hsin-Hung Chou, Meng-Ru Shen, Sun-Yuan Hsieh. Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN
3278 -- 3291Mengyi Tang, Kumbit Hwang, Sung Ha Kang. StemP: A Fast and Deterministic Stem-Graph Approach for RNA Secondary Structure Prediction
3292 -- 3305Hongfei Zhao, Cunqi Shao, Zhiguo Shi 0001, Shibo He, Zhefeng Gong. The Intrinsic Similarity of Topological Structure in Biological Neural Networks
3306 -- 3313Junlin Wang, Wenbo Wang, Yi Shang. Protein Loop Modeling Using AlphaFold2
3314 -- 3321Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu 0001. RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction
3322 -- 3328Zhengsen Pan, Shusen Zhou, Tong Liu, Chanjuan Liu, Mujun Zang, Qingjun Wang. WVDL: Weighted Voting Deep Learning Model for Predicting RNA-Protein Binding Sites

Volume 20, Issue 4

2363 -- 2366Honghao Gao, Zijian Zhang 0001, Ramón J. Durán Barroso. Guest Editorial Special Issue on Multi-Modal Biomedical Computing-Deep Transfer Learning
2367 -- 2375Wei Wang 0077, Xinhua Yu, Bo Fang, Yue Zhao, Yongyong Chen, Wei Wei 0006, Junxin Chen. Cross-Modality LGE-CMR Segmentation Using Image-to-Image Translation Based Data Augmentation
2376 -- 2386Zhichen Ni, Honglong Chen, Zhe Li, Xiaomeng Wang, Na Yan, Weifeng Liu 0001, Feng Xia 0001. MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks
2387 -- 2397Yuanpeng Zhang, Kaijian Xia, Yizhang Jiang, Pengjiang Qian, Weiwei Cai, Chengyu Qiu, Khin Wee Lai, Dongrui Wu. Multi-Modality Fusion & Inductive Knowledge Transfer Underlying Non-Sparse Multi-Kernel Learning and Distribution Adaption
2398 -- 2406Nan Chen, Man Guo, Yongchao Li, Xiping Hu 0001, Zhijun Yao, Bin Hu 0001. Estimation of Discriminative Multimodal Brain Network Connectivity Using Message-Passing-Based Nonlinear Network Fusion
2407 -- 2419Jinxia Wang, Liang Qiao 0003, Haibin Lv, Zhihan Lv. Deep Transfer Learning-Based Multi-Modal Digital Twins for Enhancement and Diagnostic Analysis of Brain MRI Image
2420 -- 2433Fayaz Ali Dharejo, Muhammad Zawish, Farah Deeba, Yuanchun Zhou, Kapal Dev, Sunder Ali Khowaja, Nawab Muhammad Faseeh Qureshi. Multimodal-Boost: Multimodal Medical Image Super-Resolution Using Multi-Attention Network With Wavelet Transform
2434 -- 2444Yuexin Bian, Jintai Chen, Xiaojun Chen, Xiaoxian Yang, Danny Z. Chen, Jian Wu 0001. Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network
2445 -- 2456Imran Ahmed 0002, Abdellah Chehri, Gwanggil Jeon, Francesco Piccialli. Automated Pulmonary Nodule Classification and Detection Using Deep Learning Architectures
2457 -- 2467Qi-Qi Chen, Zhao-Hui Sun, Chuan-Feng Wei, Edmond Qi Wu, Dong-ming. Semi-Supervised 3D Medical Image Segmentation Based on Dual-Task Consistent Joint Learning and Task-Level Regularization
2468 -- 2479Mainak Adhikari, Abhishek Hazra, Sudarshan Nandy. Deep Transfer Learning for Communicable Disease Detection and Recommendation in Edge Networks
2480 -- 2493Xiaolong Xu 0002, Haoyan Xu, Liying Wang, Yuanyuan Zhang, Fu Xaio. Hygeia: A Multilabel Deep Learning-Based Classification Method for Imbalanced Electrocardiogram Data
2494 -- 2505Yuxin Ma, Shuo Wang, Yang Hua, Ruhui Ma, Tao Song, Zhengui Xue, Heng Cao, Haibing Guan. Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation
2506 -- 2517Jianyuan Li, Xiong Luo, Huimin Ma, Wenbing Zhao 0001. A Hybrid Deep Transfer Learning Model With Kernel Metric for COVID-19 Pneumonia Classification Using Chest CT Images
2518 -- 2529Ilias Siniosoglou, Vasileios Argyriou, Panagiotis G. Sarigiannidis, Thomas Lagkas, Antonios Sarigiannidis, Sotirios K. Goudos, Shaohua Wan 0001. Post-Processing Fairness Evaluation of Federated Models: An Unsupervised Approach in Healthcare
2530 -- 2540Wentian Cai, Linsen Xie, Weixian Yang, Yijiang Li, Ying Gao 0004, Tingting Wang. DFTNet: Dual-Path Feature Transfer Network for Weakly Supervised Medical Image Segmentation
2541 -- 2554Qingbin Wang, Kaiyi Chen, Wanrong Dou, Yutao Ma. Cross-Attention Based Multi-Resolution Feature Fusion Model for Self-Supervised Cervical OCT Image Classification
2555 -- 2564Ke Yan 0001, Xinlu Guo, Zhiwei Ji, Xiaokang Zhou. Deep Transfer Learning for Cross-Species Plant Disease Diagnosis Adapting Mixed Subdomains
2565 -- 2576Yi Ding 0003, Xue-qin, Mingfeng Zhang, Ji Geng 0001, Dajiang Chen, Fuhu Deng, Chunhe Song. RLSegNet: An Medical Image Segmentation Network Based on Reinforcement Learning
2577 -- 2586Tingting Liang, Congying Xia, Ziqiang Zhao, Yixuan Jiang, Yuyu Yin, Philip S. Yu. Transferring From Textual Entailment to Biomedical Named Entity Recognition
2587 -- 2597Abdul Qayyum, Imran Razzak, M. Tanveer 0001, Moona Mazher, Bandar Alhaqbani. High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis
2598 -- 2609Sheng Ren, Kehua Guo, Xiaokang Zhou, Bin Hu 0021, Feihong Zhu, Entao Luo. Medical Image Super-Resolution Based on Semantic Perception Transfer Learning

Volume 20, Issue 3

1626 -- 1627Carlos Martín-Vide, Miguel A. Vega-Rodríguez. Algorithms for Computational Biology: Eighth Edition
1628 -- 1640Alexsandro Oliveira Alexandrino, Klairton Lima Brito, Andre Rodrigues Oliveira, Ulisses Dias, Zanoni Dias. Reversal and Indel Distance With Intergenic Region Information
1641 -- 1653Klairton Lima Brito, Alexsandro Oliveira Alexandrino, Andre Rodrigues Oliveira, Ulisses Dias, Zanoni Dias. Genome Rearrangement Distance With a Flexible Intergenic Regions Aspect
1654 -- 1666Kaari Landry, Aivee Teodocio, Manuel Lafond, Olivier Tremblay Savard. Defining Phylogenetic Network Distances Using Cherry Operations
1667 -- 1678Chenqi Mou, Wenwen Ju. Sparse Triangular Decomposition for Computing Equilibria of Biological Dynamic Systems Based on Chordal Graphs
1679 -- 1690David Schaller 0001, Manuela Geiß, Marc Hellmuth, Peter F. Stadler. Best Match Graphs With Binary Trees
1691 -- 1699Yin Yao, Martin C. Frith. Improved DNA-Versus-Protein Homology Search for Protein Fossils
1700 -- 1712Paul Zaharias, Vladimir Smirnov, Tandy J. Warnow. Large-Scale Multiple Sequence Alignment and the Maximum Weight Trace Alignment Merging Problem
1713 -- 1724Kaitao Wu, Lexiang Wang, Bo Liu 0023, Yang Liu 0039, Yadong Wang, Junyi Li. PSPGO: Cross-Species Heterogeneous Network Propagation for Protein Function Prediction
1725 -- 1736Alejandro F. Villaverde, Elba Raimúndez-Álvarez, Jan Hasenauer, Julio R. Banga. Assessment of Prediction Uncertainty Quantification Methods in Systems Biology
1737 -- 1745Jinmiao Song, Shengwei Tian, Long Yu, Qimeng Yang, Yuanxu Wang, Qiguo Dai, Xiaodong Duan. ISLMI: Predicting lncRNA-miRNA Interactions Based on Information Injection and Second-Order Graph Convolution Network
1746 -- 1760Yan Kang, Haining Wang, Bin Pu, Liu Tao, Jianguo Chen, Philip S. Yu. A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in Bioinformatics
1761 -- 1773Pranab Das, Yogita Thakran, S. R. Ngamwal Anal, Vipin Pal, Anju Yadav. BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs
1774 -- 1782Wen-Yu Xi, Feng Zhou, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng 0001. LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy
1783 -- 1794Ramkishore Bhattacharyya. Bidirectional Association Discovery Leads to Precise Identification of Lung Cancer Biomarkers and Genome Taxa Class
1795 -- 1806Vianney Kengne Tchendji, Franklin Ingrid Kamga Youmbi, Clémentin Tayou Djamégni, Jerry Lacmou Zeutouo. A Parallel Tiled and Sparsified Four-Russians Algorithm for Nussinov's RNA Folding
1807 -- 1816Jie Xu, Guanxue Yang, Guohai Liu, Hui Liu 0010. Inferring Gene Regulatory Networks via Ensemble Path Consistency Algorithm Based on Conditional Mutual Information
1817 -- 1828Pradeep Kumar Das, Biswajeet Sahoo, Sukadev Meher. An Efficient Detection and Classification of Acute Leukemia Using Transfer Learning and Orthogonal Softmax Layer-Based Model
1829 -- 1841Marcelo Rodrigues de Holanda Maia, Alexandre Plastino 0001, Alex Alves Freitas, João Pedro de Magalhães. Interpretable Ensembles of Classifiers for Uncertain Data With Bioinformatics Applications
1842 -- 1853Shutao Chen, Lin Zhang 0015, Xiangzhi Chen, Hui Liu 0024. FGFICA: Independent Component Analysis of Fusion Genomic Features for Mining Epi-Transcriptome Profiling Data
1854 -- 1863Hui Yu 0011, Kangkang Li, Jianyu Shi. DGANDDI: Double Generative Adversarial Networks for Drug-Drug Interaction Prediction
1864 -- 1875Jun Bai, Chuantao Yin, Zimeng Wu, Jianfei Zhang, Yanmeng Wang, Guanyi Jia, Wenge Rong, Zhang Xiong 0001. Improving Biomedical ReQA With Consistent NLI-Transfer and Post-Whitening
1876 -- 1889Xiangbin Lin, Weizhuang Kong, Jianxiu Li, Xuexiao Shao, Changting Jiang, Ruilan Yu, Xiaowei Li 0005, Bin Hu 0001. Aberrant Static and Dynamic Functional Brain Network in Depression Based on EEG Source Localization
1890 -- 1904Prasun Chandra Tripathi, Soumen Bag 0001. An Attention-Guided CNN Framework for Segmentation and Grading of Glioma Using 3D MRI Scans
1905 -- 1916Shuhui Liu, Yupei Zhang, Xuequn Shang. GLassonet: Identifying Discriminative Gene Sets Among Molecular Subtypes of Breast Cancer
1917 -- 1925Hegang Chen, Yuyin Lu, Yuedong Yang, Yanghui Rao. A Drug Combination Prediction Framework Based on Graph Convolutional Network and Heterogeneous Information
1926 -- 1934Shengli Zhang, Yuanyuan Jing. PreVFs-RG: A Deep Hybrid Model for Identifying Virulence Factors Based on Residual Block and Gated Recurrent Unit
1935 -- 1942Minghua Zhao, Min Yuan, Yaning Yang, Steven X. Xu 0001. CPGL: Prediction of Compound-Protein Interaction by Integrating Graph Attention Network With Long Short-Term Memory Neural Network
1943 -- 1952Qichang Zhao, Guihua Duan, Haochen Zhao, Kai Zheng, Yaohang Li, Jianxin Wang 0001. GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning
1953 -- 1962Qi Dang, Yong Liang 0001, Dong Ou-Yang, Rui Miao, Caijin Ling, Xiao-Ying Liu 0001, Shengli Xie. Improved Computational Drug-Repositioning by Self-Paced Non-Negative Matrix Tri-Factorization
1963 -- 1970Haoyuan Shi, Haisong Feng, Zhenxiao Lu, Wei Xue, Congshan Yang, Zhenyu Yue. GRA-GCN: Dense Granule Protein Prediction in Apicomplexa Protozoa Through Graph Convolutional Network
1971 -- 1982Carlos Sequeiros, Irene Otero-Muras, Carlos Vázquez 0002, Julio R. Banga. Global Optimization Approach for Parameter Estimation in Stochastic Dynamic Models of Biosystems
1983 -- 1994Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh AP. Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations
1995 -- 2006Aranka Steyaert, Pieter Audenaert, Jan Fostier. Improved Node and Arc Multiplicity Estimation in De Bruijn Graphs Using Approximate Inference in Conditional Random Fields
2007 -- 2015Xiaolin Wang, Hongli Gao, Ren Qi, Ruiqing Zheng, Xin Gao 0001, Bin Yu 0007. scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means
2016 -- 2028Liangliang Tian, Haixi Zhang, Bin Liu 0023, Jiaqi Zhang, Nannan Duan, Aihong Yuan, Yingqiu Huo. VMF-SSD: A Novel V-Space Based Multi-Scale Feature Fusion SSD for Apple Leaf Disease Detection
2029 -- 2040Shima Shafiee, Abdolhossein Fathi, Ghazaleh Taherzadeh. SPPPred: Sequence-Based Protein-Peptide Binding Residue Prediction Using Genetic Programming and Ensemble Learning
2041 -- 2049Alejandro Fernández-Fraga, Jorge González-Domínguez, Juan Touriño. ParRADMeth: Identification of Differentially Methylated Regions on Multicore Clusters
2050 -- 2063Xiaowei Gao, Yan Wang, Weimin Hou, Zaiyi Liu, Xiaoke Ma. Multi-View Clustering for Integration of Gene Expression and Methylation Data With Tensor Decomposition and Self-Representation Learning
2064 -- 2077Erhun Giray Tuncay, Riza Cenk Erdur, Tim Conrad 0001. Parallel Exchange of Randomized SubGraphs for Optimization of Network Alignment: PERSONA
2078 -- 2088Tanzila Islam, Chyon Hae Kim, Hiroyoshi Iwata, Hiroyuki Shimono, Akio Kimura. DeepCGP: A Deep Learning Method to Compress Genome-Wide Polymorphisms for Predicting Phenotype of Rice
2089 -- 2100Yelu Jiang, Lijun Quan, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu. DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations
2101 -- 2111Peng Chen, Jian Wang 0021, Hongfei Lin, Yijia Zhang 0001, Zhihao Yang. Knowledge Adaptive Multi-Way Matching Network for Biomedical Named Entity Recognition via Machine Reading Comprehension
2112 -- 2121Asmita Tripathi, Rajkrishna Mondal, Tapobrata Lahiri, Deepak Chaurasiya, Manoj Kumar Pal. TemPred: A Novel Protein Template Search Engine to Improve Protein Structure Prediction
2122 -- 2135Md. Inzamam-Ul-Hossain, Md. Rafiqul Islam. Identification of Essential Protein Using Chemical Reaction Optimization and Machine Learning Technique
2136 -- 2146Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu. Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise Encoding
2147 -- 2158Yixin Wang, Md. Noor-A-Rahim, Erry Gunawan, Yong Liang Guan 0001, Chueh-Loo Poh. Modelling, Characterization of Data-Dependent and Process-Dependent Errors in DNA Data Storage
2159 -- 2169Yiran Huang, Yongjin Bin, Pingfan Zeng, Wei Lan, Cheng Zhong. NetPro: Neighborhood Interaction-Based Drug Repositioning via Label Propagation
2170 -- 2176Leyla Nazari, Zahra Zinati. Gene Expression Classification for Biomarker Identification in Maize Subjected to Various Biotic Stresses
2177 -- 2189Necla Nisa Soylu, Emre Sefer. BERT2OME: Prediction of 2′-O-Methylation Modifications From RNA Sequence by Transformer Architecture Based on BERT
2190 -- 2199Changkun Jiang, Weipeng Lv, Jianqiang Li 0001. Protein-Protein Interaction Sites Prediction Using Batch Normalization Based CNNs and Oversampling Method Borderline-SMOTE
2200 -- 2209Chang Sun, Rong Tang, Jipeng Huang, Jin-Mao Wei 0001, Jian Liu. A Deep Neural Network-Based Co-Coding Method to Predict Drug-Protein Interactions by Analyzing the Feature Consistency Between Drugs and Proteins
2210 -- 2222Aman Sinha, Bo-Cheng Lai, Jhih-Yong Mai. A Bin-Based Indexing for Scalable Range Join on Genomic Data
2223 -- 2232Wei Wang 0166, Bin Sun, MengXue Yu, Shiyu Wu, Dong Liu 0008, Hongjun Zhang, Yun Zhou. GraphPLBR: Protein-Ligand Binding Residue Prediction With Deep Graph Convolution Network
2233 -- 2241LinLin Du, Rui Han, Bo Liu 0023, Yadong Wang, Junyi Li. ScCCL: Single-Cell Data Clustering Based on Self-Supervised Contrastive Learning
2242 -- 2253Vikash Kumar, Akshay Deepak, Ashish Ranjan 0003, Aravind Prakash. Lite-SeqCNN: A Light-Weight Deep CNN Architecture for Protein Function Prediction
2254 -- 2265Yezi He, Xiangtao Chen, Nguyen Hoang Tu, Jiawei Luo 0001. Deep Multi-Constraint Soft Clustering Analysis for Single-Cell RNA-Seq Data via Zero-Inflated Autoencoder Embedding
2266 -- 2277Fan Rao, Minghan Chen, Defu Yang, Bess Morrell, Qianqian Song, Wentao Zhu. scENT for Revealing Gene Clusters From Single-Cell RNA-Seq Data
2278 -- 2290Ekta Shah, Pradipta Maji. Multi-View Kernel Learning for Identification of Disease Genes
2291 -- 2301Richa Dhanuka, Jyoti Prakash Singh, Anushree Tripathi. A Comprehensive Survey of Deep Learning Techniques in Protein Function Prediction
2302 -- 2313Ricardo Wandré Dias Pedro, Ana Luiza Silveira Ferreira, Rodolph Vinicius Siqueira Pessoa, Almir Galvão Vieira Bitencourt, Ariane Machado-Lima, Fátima L. S. Nunes. A Stochastic Grammar Approach to Mass Classification in Mammograms
2314 -- 2327Adam Witmer, Rajkumar Theagarajan, Bir Bhanu. Triplet-Net Classification of Contiguous Stem Cell Microscopy Images
2328 -- 2340Zhiming Zhang, Shangce Gao, Zhenyu Lei, RunQun Xiong, Jiujun Cheng. Pareto Dominance Archive and Coordinated Selection Strategy-Based Many-Objective Optimizer for Protein Structure Prediction
2341 -- 2348Hao Zhang, Honglei Song, Xiaoming Xu, Qixin Chang, Mingkai Wang, Yanjie Wei, Zekun Yin, Bertil Schmidt, Weiguo Liu. RabbitFX: Efficient Framework for FASTA/Q File Parsing on Modern Multi-Core Platforms
2349 -- 2355Momoko Hayamizu, Kazuhisa Makino. Ranking Top-$k$ Trees in Tree-Based Phylogenetic Networks
2356 -- 2361Anushka Mitra, Shibambika Manna, Raima Kundu, Ditipriya Hazra, Amlan Roychowdhury. Brute Force Virtual Drug Screening with Molecular Dynamics Simulation and MM/PBSA to Find Potent Inhibitors of METTL16

Volume 20, Issue 2

808 -- 821Isabel González-Crespo, Antonio Gómez-Caamaño, Óscar López Pouso, John D. Fenwick, Juan Pardo-Montero. A Biomathematical Model of Tumor Response to Radioimmunotherapy With αPDL1 and αCTLA4
822 -- 832Xiong Li, Yangkai Lin, Chengwang Xie, Zejun Li, Min Chen 0028, Peng Wang 0035, Juan Zhou. A Clustering Method Unifying Cell-Type Recognition and Subtype Identification for Tumor Heterogeneity Analysis
833 -- 842Min Li 0007, Wenbo Shi, Fuhao Zhang, Min Zeng, Yaohang Li. A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms
843 -- 851Xiaoqing Peng, Wenjin Zhang, Wanxin Cui, Binrong Ding, Qingtong Lyu, Jianxin Wang 0001. ADmeth: A Manually Curated Database for the Differential Methylation in Alzheimer's Disease
852 -- 863Qichang Zhao, Guihua Duan, Mengyun Yang, Zhongjian Cheng, Yaohang Li, Jianxin Wang 0001. AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism
864 -- 874Jiasheng Si, Liu Sun, Deyu Zhou, Jie Ren, Lin Li. Biomedical Argument Mining Based on Sequential Multi-Task Learning
875 -- 882Mahdieh Ghasemi, Maseud Rahgozar, Kaveh Kavousi. Complex Disease Genes Identification Using a Heterogeneous Network Embedding Approach
883 -- 893Dong Jun Jee, Yixin Kong, Hyonho Chun. Deep Nonnegative Matrix Factorization Using a Variational Autoencoder With Application to Single-Cell RNA Sequencing Data
894 -- 903Volkan Altuntas. Diffusion Alignment Coefficient (DAC): A Novel Similarity Metric for Protein-Protein Interaction Network
904 -- 911Mobeen-ur-Rehman, Hilal Tayara, Kil To Chong. DL-m6A: Identification of N6-Methyladenosine Sites in Mammals Using Deep Learning Based on Different Encoding Schemes
912 -- 922Zhong-Ze Yu, Chunxiang Peng, Jun Liu, Biao Zhang, Xiao-gen Zhou, Gui-jun Zhang. DomBpred: Protein Domain Boundary Prediction Based on Domain-Residue Clustering Using Inter-Residue Distance
923 -- 931Xin Huang, Benzhe Su, Chenbo Zhu, Xinyu He, Xiaohui Lin 0002. Dynamic Network Construction for Identifying Early Warning Signals Based On a Data-Driven Approach: Early Diagnosis Biomarker Discovery for Gastric Cancer
932 -- 943Xuan Lin, Zhe Quan, Zhi-Jie Wang 0009, Yan Guo, Xiangxiang Zeng, Philip S. Yu. Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation
944 -- 954Yongxian Fan, Guicong Sun, Xiaoyong Pan. ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites
955 -- 966Shamima Rashid, Suresh Sundaram 0002, Chee-Keong Kwoh 0001. Empirical Study of Protein Feature Representation on Deep Belief Networks Trained With Small Data for Secondary Structure Prediction
967 -- 975Chao Wang 0043, Quan Zou 0001, Ying Ju, Hua Shi. Enhancer-FRL: Improved and Robust Identification of Enhancers and Their Activities Using Feature Representation Learning
976 -- 985Shichao Liu, Yang Zhang, Yuxin Cui, Yang Qiu, Yifan Deng, Zhongfei Zhang, Wen Zhang 0008. Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks
986 -- 998Yang Shen, Jinlin Zhu, Zhaohong Deng, Wenwei Lu, Hongchao Wang. EnsDeepDP: An Ensemble Deep Learning Approach for Disease Prediction Through Metagenomics
999 -- 1008Leandro E. Di Persia, Tiago Lopez, Agustin Arce, Diego H. Milone, Georgina Stegmayer. exp2GO: Improving Prediction of Functions in the Gene Ontology With Expression Data
1009 -- 1019Filippo Castiglione, Christine Nardini, Elia Onofri, Marco Pedicini, Paolo Tieri. Explainable Drug Repurposing Approach From Biased Random Walks
1020 -- 1029Tri Minh Nguyen 0005, Thomas P. Quinn, Thin Nguyen, Truyen Tran 0001. Explaining Black Box Drug Target Prediction Through Model Agnostic Counterfactual Samples
1030 -- 1040Chunyan Tang, Cheng Zhong, Mian Wang, Fengfeng Zhou. FMGNN: A Method to Predict Compound-Protein Interaction With Pharmacophore Features and Physicochemical Properties of Amino Acids
1041 -- 1052Jiwen Liu, Zhufang Kuang, Lei Deng 0002. GCNPCA: miRNA-Disease Associations Prediction Algorithm Based on Graph Convolutional Neural Networks
1053 -- 1064Zhen Tian, Haichuan Fang, Zhixia Teng, Yangdong Ye. GOGCN: Graph Convolutional Network on Gene Ontology for Functional Similarity Analysis of Genes
1065 -- 1072Thang Chu, Thuy Trang Nguyen, Bui Duong Hai, Quang Huy Nguyen, Tuan Nguyen. Graph Transformer for Drug Response Prediction
1073 -- 1080Bryan Herrera-Romero, Diego Almeida-Galárraga, Graciela M. Salum, Fernando Villalba-Meneses, Marco Esteban Gudiño-Gomezjurado. GUSignal: An Informatics Tool to Analyze Glucuronidase Gene Expression in Arabidopsis Thaliana Roots
1081 -- 1091Junwei Sun, Haoping Ji, Yingcong Wang, Yanfeng Wang. Hybrid Projective Synchronization via PI Controller Based on DNA Strand Displacement
1092 -- 1103Vicky Zheng, Ahmet Erdem Sariyüce, Jaroslaw Zola. Identifying Taxonomic Units in Metagenomic DNA Streams on Mobile Devices
1104 -- 1113Yasin Görmez, Zafer Aydin. IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility
1114 -- 1124Yongping Du, Jingya Yan, Yuxuan Lu 0003, Yiliang Zhao, Xingnan Jin. Improving Biomedical Question Answering by Data Augmentation and Model Weighting
1125 -- 1136S. Sujamol, Vimina E. R. 0001, Krishnakumar U.. Improving miRNA Disease Association Prediction Accuracy Using Integrated Similarity Information and Deep Autoencoders
1137 -- 1146Xueli Song, Rongpeng Li, Kaiming Wang, Yuntong Bai, Yuzhu Xiao, Yu-Ping Wang 0002. Joint Sparse Collaborative Regression on Imaging Genetics Study of Schizophrenia
1147 -- 1155Changzhi Jiang, Minli Tang, Shuting Jin, Wei Huang, Xiangrong Liu. KGNMDA: A Knowledge Graph Neural Network Method for Predicting Microbe-Disease Associations
1156 -- 1169Xianyu Zhu, Jinjiang Li, Runchang Jia, Bin Liu 0023, Zhuohan Yao, Aihong Yuan, Yingqiu Huo, Haixi Zhang. LAD-Net: A Novel Light Weight Model for Early Apple Leaf Pests and Diseases Classification
1170 -- 1179Xiaoke Ma, Wei Zhao, Wenming Wu. Layer-Specific Modules Detection in Cancer Multi-Layer Networks
1180 -- 1187Zhengsen Pan, Shusen Zhou, Hailin Zou, Chanjuan Liu, Mujun Zang, Tong Liu, Qingjun Wang. MCNN: Multiple Convolutional Neural Networks for RNA-Protein Binding Sites Prediction
1188 -- 1199Ashish Ranjan 0003, Md. S. Fahad, David Fernández-Baca, Sudhakar Tripathi, Akshay Deepak. MCWS-Transformers: Towards an Efficient Modeling of Protein Sequences via Multi Context-Window Based Scaled Self-Attention
1200 -- 1210Xixi Yang, Zhangming Niu, Yuansheng Liu, Bosheng Song, Weiqiang Lu, Li Zeng, Xiangxiang Zeng. Modality-DTA: Multimodality Fusion Strategy for Drug-Target Affinity Prediction
1211 -- 1220Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Lió. Modular Multi-Source Prediction of Drug Side-Effects With DruGNN
1221 -- 1233Raeed Al-Sabri, Jianliang Gao, Jiamin Chen, Moctard Babatounde Oloulade, Tengfei Lyu. Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction
1234 -- 1245Yuqing Qian, Yijie Ding, Quan Zou 0001, Fei Guo 0001. Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types
1246 -- 1256Shixuan Guan, Yuqing Qian, Tengsheng Jiang, Min Jiang, Yijie Ding, Hongjie Wu. MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins
1257 -- 1268Jihwan Ha, Sanghyun Park 0003. NCMD: Node2vec-Based Neural Collaborative Filtering for Predicting MiRNA-Disease Association
1269 -- 1277Yuhao Feng, Lei Qi, Weidong Tian. PhenoBERT: A Combined Deep Learning Method for Automated Recognition of Human Phenotype Ontology
1278 -- 1288Kangchen Liu, Xiujun Zhang. PiTLiD: Identification of Plant Disease From Leaf Images Based on Convolutional Neural Network
1289 -- 1297Vincent Moulton, Taoyang Wu. Planar Rooted Phylogenetic Networks
1298 -- 1307Huan Zhao, ZhengWei Li, Zhu-Hong You, Ru Nie, Tangbo Zhong. Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks
1308 -- 1318Huizhe Zhang, Juntao Fang, Yuping Sun, Guobo Xie, Zhiyi Lin, Guosheng Gu. Predicting miRNA-Disease Associations via Node-Level Attention Graph Auto-Encoder
1319 -- 1326Zhihua Du, Tianyou Huang, Vladimir N. Uversky, Jianqiang Li 0001. Predicting TF Proteins by Incorporating Evolution Information Through PSSM
1327 -- 1336Amandeep Kaur, Ajay Pal Singh Chauhan, Ashwani Kumar Aggarwal. Prediction of Enhancers in DNA Sequence Data using a Hybrid CNN-DLSTM Model
1337 -- 1344Ke Yan 0003, Hongwu Lv, Jie Wen 0001, Yichen Guo, Yong Xu 0001, Bin Liu 0014. PreTP-Stack: Prediction of Therapeutic Peptides Based on the Stacked Ensemble Learing
1345 -- 1362Alexander V. Spirov, Ekaterina M. Myasnikova. Problem of Domain/Building Block Preservation in the Evolution of Biological Macromolecules and Evolutionary Computation
1363 -- 1371Muhammad Arsalan, Tariq Mahmood Khan, Syed Saud Naqvi, Mehmood Nawaz, Imran Razzak. Prompt Deep Light-Weight Vessel Segmentation Network (PLVS-Net)
1372 -- 1383Nikhilanand Arya, Archana Mathur, Snehanshu Saha, Sriparna Saha 0001. Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation
1384 -- 1394Hangjin Jiang, Han Li, Wing Hung Wong, Xiaodan Fan. Revealing Free Energy Landscape From MD Data via Conditional Angle Partition Tree
1395 -- 1405Amir Hossein Abolmasoumi, Mohammad Mohammadian, Lamine Mili. Robust KALMAN Filter State Estimation for Gene Regulatory Networks
1406 -- 1416Jian Zhang 0020, Feng Zhou, Xingchen Liang, Guifu Yang. SCAMPER: Accurate Type-Specific Prediction of Calcium-Binding Residues Using Sequence-Derived Features
1417 -- 1430Eleanor Wedell, Yirong Cai, Tandy J. Warnow. SCAMPP: Scaling Alignment-Based Phylogenetic Placement to Large Trees
1431 -- 1444Xiaoqing Cheng, Chang Yan, Hao Jiang 0009, Yushan Qiu. scHOIS: Determining Cell Heterogeneity Through Hierarchical Clustering Based on Optimal Imputation Strategy
1445 -- 1456Bo Li, Ke Jin, Le Ou-Yang, Hong Yan 0001, Xiao-fei Zhang. scTSSR2: Imputing Dropout Events for Single-Cell RNA Sequencing Using Fast Two-Side Self-Representation
1457 -- 1468Yatong Jiang, Tao Shang, Jianwei Liu 0001. Secure Counting Query Protocol for Genomic Data
1469 -- 1479Xinyi Wang, Mingyang Zhang, Chunlin Long, Lin Yao, Min Zhu. Self-Attention Based Neural Network for Predicting RNA-Protein Binding Sites
1480 -- 1491Ping Xuan, Yue Zhao, Hui Cui 0002, Linyun Zhan, Qiangguo Jin, Tiangang Zhang, Toshiya Nakaguchi. Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction
1492 -- 1505Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian. Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data
1506 -- 1517Xinxing Yang, GenKe Yang, Jian Chu. The Computational Drug Repositioning Without Negative Sampling
1518 -- 1528Yunqi Wan, Zhenran Jiang. TransCrispr: Transformer Based Hybrid Model for Predicting CRISPR/Cas9 Single Guide RNA Cleavage Efficiency
1529 -- 1539Shankey Garg, Pradeep Singh 0001. Transfer Learning Based Lightweight Ensemble Model for Imbalanced Breast Cancer Classification
1540 -- 1549Takeyuki Tamura. Trimming Gene Deletion Strategies for Growth-Coupled Production in Constraint-Based Metabolic Networks: TrimGdel
1550 -- 1562Borja Freire, Susana Ladra, José R. Paramá, Leena Salmela. ViQUF: De Novo Viral Quasispecies Reconstruction Using Unitig-Based Flow Networks
1563 -- 1573Xuekun Song, Ke Liang, Juntao Li. WGRLR: A Weighted Group Regularized Logistic Regression for Cancer Diagnosis and Gene Selection
1574 -- 1580Aimin Li, Siqi Xiong, Junhuai Li, Saurav Mallik, Yajun Liu, Rong Fei, Hongfang Zhou, Guangming Liu. AngClust: Angle Feature-Based Clustering for Short Time Series Gene Expression Profiles
1581 -- 1586Donglin Wang, Don Hong, Qiang Wu 0003. Attention Deficit Hyperactivity Disorder Classification Based on Deep Learning
1587 -- 1593Junqiao Qiu, Ali Ebnenasir. Exploring Scalable Parallelization for Edit Distance-Based Motif Search
1594 -- 1599Lijun Quan, Xiaomin Chu, Xiaoyu Sun, Tingfang Wu, Qiang Lyu. How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets
1600 -- 1605Aditi Jain, Arvind Kumar Gupta. Modeling mRNA Translation With Ribosome Abortions
1606 -- 1612Xiaojuan Wang, Wen Yang, Yue Yang, Yizhou He, Jun Zhang, Lusheng Wang, Lun Hu. PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel
1613 -- 1618Elizabeth S. Allman, Hector Baños, John A. Rhodes. Testing Multispecies Coalescent Simulators Using Summary Statistics

Volume 20, Issue 1

1 -- 14Qiaoming Liu, Xudong Zhao 0002, Guohua Wang. A Clustering Ensemble Method for Cell Type Detection by Multiobjective Particle Optimization
15 -- 29Kun Liu, Hong-Dong Li, Yaohang Li, Jun Wang, Jianxin Wang 0001. A Comparison of Topologically Associating Domain Callers Based on Hi-C Data
30 -- 38Jan Klosa, Noah Simon, Volkmar Liebscher, Dörte Wittenburg. A Fitted Sparse-Group Lasso for Genome-Based Evaluations
39 -- 51Chengzhuan Yang, Lincong Fang, Qian Yu, Hui Wei 0001. A Learning Robust and Discriminative Shape Descriptor for Plant Species Identification
52 -- 60Feng Zhou, Meng-Meng Yin, Jing-Xiu Zhao, Junliang Shang, Jin-Xing Liu. A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations
61 -- 73Qiang Yu 0003, Xiao Zhang, Yana Hu, Shengpin Chen, Liying Yang 0001. A Method for Predicting DNA Motif Length Based On Deep Learning
74 -- 93Weixian Huang, Kaiwen Tan, Ziye Zhang, Jinlong Hu, Shoubin Dong. A Review of Fusion Methods for Omics and Imaging Data
94 -- 105Ashish Ranjan 0003, Archana Tiwari, Akshay Deepak. A Sub-Sequence Based Approach to Protein Function Prediction via Multi-Attention Based Multi-Aspect Network
106 -- 118Jun Bai, Chuantao Yin, Jianfei Zhang, Yanmeng Wang, Yi Dong, Wenge Rong, Zhang Xiong 0001. Adversarial Knowledge Distillation Based Biomedical Factoid Question Answering
119 -- 135Katrin Sophie Bohnsack, Marika Kaden, Julia Abel, Thomas Villmann. Alignment-Free Sequence Comparison: A Systematic Survey From a Machine Learning Perspective
136 -- 150Steffy Maria Joseph, P. S. Sathidevi 0001. An Automated cDNA Microarray Image Analysis for the Determination of Gene Expression Ratios
151 -- 161Sahar Iravani, Tim O. F. Conrad. An Interpretable Deep Learning Approach for Biomarker Detection in LC-MS Proteomics Data
162 -- 173Kanchan Jha, Sriparna Saha 0001. Analyzing Effect of Multi-Modality in Predicting Protein-Protein Interactions
174 -- 184Shankarachary Ragi, Md Hafizur Rahman, Jamison Duckworth, Kalimuthu Jawaharraj, Parvathi Chundi, Venkataramana Gadhamshetty. Artificial Intelligence-Driven Image Analysis of Bacterial Cells and Biofilms
185 -- 195Hao Zhang 0079, Chuanxu Yan, Yewei Xia, Jihong Guan, Shuigeng Zhou. Causal Gene Identification Using Non-Linear Regression-Based Independence Tests
196 -- 205Naser Anjum, Raian Latif Nabil, Rakibul Islam Rafi, Md. Shamsuzzoha Bayzid, Mohammad Saifur Rahman. CD-MAWS: An Alignment-Free Phylogeny Estimation Method Using Cosine Distance on Minimal Absent Word Sets
206 -- 216Tuan D. Pham. Classification of Caenorhabditis Elegans Locomotion Behaviors With Eigenfeature-Enhanced Long Short-Term Memory Networks
217 -- 237Ichcha Manipur, Maurizio Giordano, Marina Piccirillo, Seetharaman Parashuraman, Lucia Maddalena 0001. Community Detection in Protein-Protein Interaction Networks and Applications
238 -- 255Rizwan Qureshi, Bin Zou 0004, Tanvir Alam, Jia Wu 0009, Victor H. F. Lee, Hong Yan 0001. Computational Methods for the Analysis and Prediction of EGFR-Mutated Lung Cancer Drug Resistance: Recent Advances in Drug Design, Challenges and Future Prospects
256 -- 265Jingbo Yang, Denan Zhang, Yiyang Cai, Kexin Yu, Mingming Li, Lei Liu, Xiujie Chen. Computational Prediction of Drug Phenotypic Effects Based on Substructure-Phenotype Associations
266 -- 276Wook Lee, Seokwoo Lee, Kyungsook Han. Constructing a Cancer Patient-Specific Network Based on Second-Order Partial Correlations of Gene Expression and DNA Methylation
277 -- 284Zhi-hao Liu, Cunmei Ji, Jian-Cheng Ni, Yu-Tian Wang, Li-Juan Qiao, Chun-Hou Zheng 0001. Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association
285 -- 296Yang Hua, Xiaoning Song, Zhen-Hua Feng, Xiaojun Wu 0001, Josef Kittler, Dong-jun Yu. CPInformer for Efficient and Robust Compound-Protein Interaction Prediction
297 -- 306Kailong Li, Lijun Quan, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu. 2ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation
307 -- 320Xiuquan Du, Jiajia Hu. Deep Multi-Label Joint Learning for RNA and DNA-Binding Proteins Prediction
321 -- 329Xiaohui Yang, Zi-Jun Xi, Jie-Ping Li, Xin-Lei Feng, Xiao-Hong Zhu, Si-Yi Guo, Chun-Peng Song. Deep Transfer Learning-Based Multi-Object Detection for Plant Stomata Phenotypic Traits Intelligent Recognition
330 -- 339Onur Can Uner, Halil Ibrahim Kuru, Ramazan Gokberk Cinbis, Oznur Tastan, A. Ercüment Çiçek. DeepSide: A Deep Learning Approach for Drug Side Effect Prediction
340 -- 351Zimo Huang, Jun Wang, Zhongmin Yan, Lin Wan, Maozu Guo 0001. Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data
352 -- 359Jinghang Lin, Xiaoran Tong, Chenxi Li, Qing Lu. Expectile Neural Networks for Genetic Data Analysis of Complex Diseases
360 -- 370Lucia Williams, Alexandru I. Tomescu, Brendan Mumey. Flow Decomposition With Subpath Constraints
371 -- 377Huadong Wang, Jianhui Sun, Mengya Liu, Chun-Hou Zheng 0001, Junfeng Xia, Na Cheng. frDSM: An Ensemble Predictor With Effective Feature Representation for Deleterious Synonymous Mutation in Human Genome
378 -- 387Cheng-Hong Yang 0001, Hsiu-Chen Huang, Ming-Feng Hou, Li-Yeh Chuang, Yu-Da Lin. Fuzzy-Based Multiobjective Multifactor Dimensionality Reduction for Epistasis Analysis
388 -- 398Jianwei Li, Duanyang Wang, Zhenwu Yang, Ming Liu. HEGANLDA: A Computational Model for Predicting Potential Lncrna-Disease Associations Based On Multiple Heterogeneous Networks
399 -- 409Qie Liu, Junhao Li, Mingyu Dong, Min Liu, Yi Chai. Identification of Gene Regulatory Networks Using Variational Bayesian Inference in the Presence of Missing Data
410 -- 420Ashwin Lahorkar, Hrushikesh Bhosale, Aamod Sane, Vigneshwar Ramakrishnan, Valadi K. Jayaraman. Identification of Phase Separating Proteins With Distributed Reduced Alphabet Representations of Sequences
421 -- 431Jiazhou Chen, Guoqiang Han, Aodan Xu, Tatsuya Akutsu, Hongmin Cai. Identifying miRNA-Gene Common and Specific Regulatory Modules for Cancer Subtyping by a High-Order Graph Matching Model
432 -- 441Ning Wang, Jun Zhang, Bin Liu 0014. iDRBP-EL: Identifying DNA- and RNA- Binding Proteins Based on Hierarchical Ensemble Learning
442 -- 454Antonio R. Paiva, Giovanni Pilloni. Inferring Microbial Biomass Yield and Cell Weight Using Probabilistic Macrochemical Modeling
455 -- 464Huanhuan Wang, Xiang Wu. IPP: An Intelligent Privacy-Preserving Scheme for Detecting Interactions in Genome Association Studies
465 -- 475Yingyi Liu, Hong-Dong Li, Yunpei Xu, Yi-Wei Liu, Xiaoqing Peng, Jianxin Wang 0001. IsoCell: An Approach to Enhance Single Cell Clustering by Integrating Isoform-Level Expression Through Orthogonal Projection
476 -- 488Zhaowu Lu, Jun Wang 0024, Rui Mao 0001, Minhua Lu, Jun Shi 0004. Jointly Composite Feature Learning and Autism Spectrum Disorder Classification Using Deep Multi-Output Takagi-Sugeno-Kang Fuzzy Inference Systems
489 -- 499Yi Sun, Jian Wang 0021, Hongfei Lin, Yijia Zhang 0001, Zhihao Yang. Knowledge Guided Attention and Graph Convolutional Networks for Chemical-Disease Relation Extraction
500 -- 511Yijie Ding, Wenying He, Jijun Tang, Quan Zou 0001, Fei Guo 0001. Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm
512 -- 523Xingze Wang, Guoxian Yu, Zhongmin Yan, Lin Wan, Wei Wang 0012, LiZhen Cui. Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks
524 -- 533Mengmeng Kuang, Yong Zhang 0001, Tak Wah Lam, Hing-Fung Ting. MLProbs: A Data-Centric Pipeline for Better Multiple Sequence Alignment
534 -- 543Jin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng 0001. MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes
544 -- 556Xiaofeng Shi, Cheng Liang, Hong Wang. Multiview Robust Graph-Based Clustering for Cancer Subtype Identification
557 -- 565Diego de S. Lima, Luiz J. A. Amichi, Maria A. Fernandez, Ademir A. Constantino, Flávio A. V. Seixas. NCYPred: A Bidirectional LSTM Network With Attention for Y RNA and Short Non-Coding RNA Classification
566 -- 575Wenming Wu, Xiaoke Ma. Network-Based Structural Learning Nonnegative Matrix Factorization Algorithm for Clustering of scRNA-Seq Data
576 -- 585Chunjiang Yu, Xin Qi, Wenying Yan, Wentao Wu 0004, Bairong Shen. Next-Generation Sequencing Markup Language (NGSML): A Medium for the Representation and Exchange of NGS Data
586 -- 594Ali Akbar Jamali, Anthony J. Kusalik, Fang-Xiang Wu. NMTF-DTI: A Nonnegative Matrix Tri-factorization Approach With Multiple Kernel Fusion for Drug-Target Interaction Prediction
595 -- 605Zhaoying Chai, Han Jin, Shenghui Shi, Siyan Zhan, Lin Zhuo, Yu Yang, Qi Lian. Noise Reduction Learning Based on XLNet-CRF for Biomedical Named Entity Recognition
606 -- 615Tzu-Hsuan Wu, Peng-Chan Lin, Hsin-Hung Chou, Meng-Ru Shen, Sun-Yuan Hsieh. Pathogenicity Prediction of Single Amino Acid Variants With Machine Learning Model Based on Protein Structural Energies
616 -- 624Ying He, Qinhu Zhang, Siguo Wang, Zhanheng Chen, Zhen Cui, Zhen-Hao Guo, De-Shuang Huang. Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates
625 -- 636Mukunthan Tharmakulasingam, Brian Gardner, Roberto La Ragione, Anil Fernando. Rectified Classifier Chains for Prediction of Antibiotic Resistance From Multi-Labelled Data With Missing Labels
637 -- 645Ye Li, Fanhui Kong, Hui Cui 0002, Fan Wang, Chunquan Li 0002, Jiquan Ma. SENIES: DNA Shape Enhanced Two-Layer Deep Learning Predictor for the Identification of Enhancers and Their Strength
646 -- 657Dhananjay Kimothi, Pravesh Biyani, James M. Hogan, Melissa J. Davis. Sequence Representations and Their Utility for Predicting Protein-Protein Interactions
658 -- 667Jiazhou Chen, Wentao Rong, Guihua Tao, Hongmin Cai. Similarity Fusion via Exploiting High Order Proximity for Cancer Subtyping
668 -- 682Vishal Rana, Eli Chien, Jianhao Peng, Olgica Milenkovic. Small-Sample Estimation of the Mutational Support and Distribution of SARS-CoV-2
683 -- 693Romica Kerketta, M. Frank Erasmus, Bridget S. Wilson, Ádám M. Halász, Jeremy S. Edwards. Spatial Stochastic Model of the Pre-B Cell Receptor
694 -- 706Hongxiao Wang, Hao Zheng 0006, Danny Z. Chen. TANGO: A GO-Term Embedding Based Method for Protein Semantic Similarity Prediction
707 -- 719Cui Su, Jun Pang 0001. Target Control of Asynchronous Boolean Networks
720 -- 730Evgenia Chunikhina, Paul Logan, Yevgeniy Kovchegov, Anatoly Yambartsev, Debashis Mondal, Andrey Morgun. The C-SHIFT Algorithm for Normalizing Covariances
731 -- 741Xinxing Yang, GenKe Yang, Jian Chu. The Neural Metric Factorization for Computational Drug Repositioning
742 -- 751Nikhila T. Suresh, Vimina E. R. 0001, Krishnakumar U.. Topology Driven Analysis of Protein - Protein Interactome for Prioritizing Key Comorbid Genes via Sub Graph Based Average Path Length Centrality
752 -- 762Manisha Saini, Seba Susan. VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset
763 -- 774Qiaoliang Liu, Fu Liu, Yan Miao, Jiaxue He, Tian Dong, Tao Hou, Yun Liu 0003. Virsearcher: Identifying Bacteriophages from Metagenomes by Combining Convolutional Neural Network and Gene Information
775 -- 784Hajin Jeon, Jeongmin Bae, Hyerin Kim, Min-Soo Kim 0002. VPrimer: A Method of Designing and Updating Primer and Probe With High Variant Coverage for RNA Virus Detection
785 -- 795Yixiong Liang, Zhihua Yin, Haotian Liu, Hailong Zeng, Jianxin Wang 0001, Jianfeng Liu, Nanying Che. Weakly Supervised Deep Nuclei Segmentation With Sparsely Annotated Bounding Boxes for DNA Image Cytometry
796 -- 801Turki M. Sobahy, Olaa A. Motwalli, Meshari Alazmi. AllelePred: A Simple Allele Frequencies Ensemble Predictor for Different Single Nucleotide Variants
802 -- 807Hemanth Kari, Surya Manikhanta Sowri Bandi, Aditya Kumar, Venkata Rajesh Yella. DeePromClass: Delineator for Eukaryotic Core Promoters Employing Deep Neural Networks