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

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