3068 | -- | 3069 | Da Yan 0001, Zhaohui S. Qin, Debswapna Bhattacharya, Jake Y. Chen. Guest Editorial for Selected Papers From BIOKDD 2021 |
3070 | -- | 3080 | Cheng Ye, Rowan Swiers, Stephen Bonner, Ian P. Barrett. A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets |
3081 | -- | 3092 | Ngan Dong, Stefanie Mücke, Megha Khosla. MuCoMiD: A Multitask Graph Convolutional Learning Framework for miRNA-Disease Association Prediction |
3093 | -- | 3102 | Raquel Aoki, Frederick Tung, Gabriel L. Oliveira. Heterogeneous Multi-Task Learning With Expert Diversity |
3103 | -- | 3113 | Emre Sefer. BioCode: A Data-Driven Procedure to Learn the Growth of Biological Networks |
3114 | -- | 3123 | Kingshuk Mukherjee, Daniel Dole-Muinos, Massimiliano Rossi 0001, Ayomide Ajayi, Mattia C. F. Prosperi, Christina Boucher. Finding Overlapping Rmaps via Clustering |
3124 | -- | 3125 | De-Shuang Huang, Kyungsook Han, Tatsuya Akutsu. Guest Editorial for Special Section on the 16th International Conference on Intelligent Computing (ICIC) |
3126 | -- | 3134 | Tengsheng Jiang, Yuhui Chen, Shixuan Guan, Zhongtian Hu, Weizhong Lu, Qiming Fu 0001, Yijie Ding, Haiou Li, Hongjie Wu. G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning |
3135 | -- | 3143 | Hsin-Hung Chou, Ching-Tien Hsu, Chin-Wei Hsu, Kai-Hsun Yao, Hao-Ching Wang, Sun-Yuan Hsieh. Novel Algorithm for Improved Protein Classification Using Graph Similarity |
3144 | -- | 3153 | Qinhu Zhang, Yindong Zhang, Siguo Wang, Zhan-Heng Chen, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang. Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape |
3154 | -- | 3159 | Min Fang, Yufeng He, Zhihua Du, Vladimir N. Uversky. DeepCLD: An Efficient Sequence-Based Predictor of Intrinsically Disordered Proteins |
3160 | -- | 3170 | Xinguo Lu, Jinxin Li, Zhenghao Zhu, Yue Yuan, Guanyuan Chen, Keren He. Predicting miRNA-Disease Associations via Combining Probability Matrix Feature Decomposition With Neighbor Learning |
3171 | -- | 3178 | Qing-Wen Wu, Rui-Fen Cao, Jun-Feng Xia, Jian-Cheng Ni, Chunhou Zheng 0001, Yan-Sen Su. Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation |
3179 | -- | 3189 | Bo Li, Yihui Tian, Yang Tian, Shihua Zhang, Xiaolong Zhang 0002. Predicting Cancer Lymph-Node Metastasis From LncRNA Expression Profiles Using Local Linear Reconstruction Guided Distance Metric Learning |
3190 | -- | 3201 | Wen Li, Shu-Lin Wang, Junlin Xu, Ju Xiang. Inferring Latent MicroRNA-Disease Associations on a Gene-Mediated Tripartite Heterogeneous Multiplexing Network |
3202 | -- | 3212 | Yulian Xie, Min Liu 0008, Shirui Zhou, Yaonan Wang. A Deep Local Patch Matching Network for Cell Tracking in Microscopy Image Sequences Without Registration |
3213 | -- | 3223 | Zhanpeng Huang, Wu Jiekang. A Multiview Clustering Method With Low-Rank and Sparsity Constraints for Cancer Subtyping |
3224 | -- | 3232 | Nassima Aleb. A Mutual Attention Model for Drug Target Binding Affinity Prediction |
3233 | -- | 3245 | Jianshen Zhu, Naveed Ahmed Azam, Fan Zhang, Aleksandar Shurbevski, Kazuya Haraguchi, Liang Zhao 0013, Hiroshi Nagamochi, Tatsuya Akutsu. A Novel Method for Inferring Chemical Compounds With Prescribed Topological Substructures Based on Integer Programming |
3246 | -- | 3254 | Yueran Yang, Yu Zhang, Shuai Li 0010, Xubin Zheng, Man Hon Wong 0001, Kwong-Sak Leung, Lixin Cheng. A Robust and Generalizable Immune-Related Signature for Sepsis Diagnostics |
3255 | -- | 3262 | Xinzhe Ni, Bohao Geng, Haoyu Zheng, Jiawei Shi, Gang Hu, Jianzhao Gao. Accurate Estimation of Single-Cell Differentiation Potency Based on Network Topology and Gene Ontology Information |
3263 | -- | 3271 | Yiming Li, Min Zeng, Yifan Wu, Yaohang Li, Min Li 0007. Accurate Prediction of Human Essential Proteins Using Ensemble Deep Learning |
3272 | -- | 3280 | Jingshu Bi, Yuanjie Zheng, Chongjing Wang, Yanhui Ding. An Attention Based Bidirectional LSTM Method to Predict the Binding of TCR and Epitope |
3281 | -- | 3294 | Sepideh Mazrouee. ARHap: Association Rule Haplotype Phasing |
3295 | -- | 3306 | Jiani Ma, Lin Zhang, Shaojie Li, Hui Liu. 7G) Site-Disease Association Prediction |
3307 | -- | 3316 | Ghazaleh Parvini, Katherine Braught, David Fernández-Baca. Checking Phylogenetics Decisiveness in Theory and in Practice |
3317 | -- | 3331 | Enzo Battistella, Maria Vakalopoulou, Roger Sun, Théo Estienne, Marvin Lerousseau, Sergey Nikolaev, Emilie Alvarez Andres, Alexandre Carré, Stéphane Niyoteka, Charlotte Robert, Nikos Paragios, Eric Deutsch. COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures |
3332 | -- | 3339 | Aanchal Mongia, Émilie Chouzenoux, Angshul Majumdar. Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion |
3340 | -- | 3352 | Omar Shetta, Mahesan Niranjan, Srinandan Dasmahapatra. Convex Multi-View Clustering Via Robust Low Rank Approximation With Application to Multi-Omic Data |
3353 | -- | 3365 | Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander. Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation |
3366 | -- | 3373 | Xiao-ye, Yulin Wu, Jiangsheng Pi, Hong Li, Bo Liu, Yadong Wang, Junyi Li. Deepgmd: A Graph-Neural-Network-Based Method to Detect Gene Regulator Module |
3374 | -- | 3383 | Salma Alzahrani, Christopher Applegate, David Swarbreck, Tamas Dalmay, Leighton Folkes, Vincent Moulton. Degradome Assisted Plant MicroRNA Prediction Under Alternative Annotation Criteria |
3384 | -- | 3394 | Qiang Yin, Yanfen Zheng, Bin Wang 0005, Qiang Zhang 0008. Design of Constraint Coding Sets for Archive DNA Storage |
3395 | -- | 3403 | Fansen Xie, Ziqi Yang, Jinmiao Song, Qiguo Dai, Xiaodong Duan. DHNLDA: A Novel Deep Hierarchical Network Based Method for Predicting lncRNA-Disease Associations |
3404 | -- | 3415 | Changyong Yu, Yuhai Zhao, Chu Zhao, Haitao Ma, Guoren Wang. DiagAF: A More Accurate and Efficient Pre-Alignment Filter for Sequence Alignment |
3416 | -- | 3424 | Vladimír Boza, Peter Peresíni, Brona Brejová, Tomás Vinar. Dynamic Pooling Improves Nanopore Base Calling Accuracy |
3425 | -- | 3434 | Ruiyi Li, Zhiye Wang, Jihong Guan, Shuigeng Zhou. Effectively Clustering Single Cell RNA Sequencing Data by Sparse Representation |
3435 | -- | 3443 | Shuai Liu 0017, Xinran Xu, Zhihao Yang, Xiaohan Zhao, Shichao Liu, Wen Zhang 0008. EPIHC: Improving Enhancer-Promoter Interaction Prediction by Using Hybrid Features and Communicative Learning |
3444 | -- | 3455 | Miika Leinonen, Leena Salmela. Extraction of Long k-mers Using Spaced Seeds |
3456 | -- | 3468 | Lihong Peng, Chang Wang, Xiongfei Tian, Liqian Zhou, Keqin Li 0001. Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture |
3469 | -- | 3481 | Subhasree Majumder, Yogita Thakran, Vipin Pal, Kuldeep Singh 0002. Fuzzy and Rough Set Theory Based Computational Framework for Mining Genetic Interaction Triplets From Gene Expression Profiles for Lung Adenocarcinoma |
3482 | -- | 3496 | S. Karen Khatamifard, Zamshed I. Chowdhury, Nakul Pande, Meisam Razaviyayn, Chris H. Kim, Ulya R. Karpuzcu. GeNVoM: Read Mapping Near Non-Volatile Memory |
3497 | -- | 3506 | Rui Yin, Nyi Nyi Thwin, Pei Zhuang, Zhuoyi Lin, Chee-Keong Kwoh 0001. IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus |
3507 | -- | 3516 | Lei Wang 0069, Jiaxin Peng, Linai Kuang, Yihong Tan, Zhiping Chen. Identification of Essential Proteins Based on Local Random Walk and Adaptive Multi-View Multi-Label Learning |
3517 | -- | 3529 | Haohao Zhou, Hao Wang, Jijun Tang, Yijie Ding, Fei Guo 0001. Identify ncRNA Subcellular Localization via Graph Regularized $k$k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning |
3530 | -- | 3538 | Wei Lan, Yi Dong, Qingfeng Chen, Jin Liu 0012, Jianxin Wang 0001, Yi-Ping Phoebe Chen, Shirui Pan. IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling |
3539 | -- | 3552 | Feng Shi 0003, Hangcheng Li, Guozhen Rong, Zhen Zhang 0025, Jianxin Wang 0001. Improved Fixed-Parameter Algorithm for the Tree Containment Problem on Unrooted Phylogenetic Network |
3553 | -- | 3563 | Tejas Prashanth, Snehanshu Saha, Sumedh Basarkod, Suraj Aralihalli, Soma S. Dhavala, Sriparna Saha 0001, Raviprasad Aduri. LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets |
3564 | -- | 3577 | Borja Freire, Susana Ladra, José R. Paramá. Memory-Efficient Assembly Using Flye |
3578 | -- | 3585 | Dayun Liu, Junyi Liu, Yi Luo, Qihua He, Lei Deng 0002. MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention Network |
3586 | -- | 3594 | Jacob Barger, Badri Adhikari. New Labeling Methods for Deep Learning Real-Valued Inter-Residue Distance Prediction |
3595 | -- | 3603 | Anni Zhou, Raheem Beyah, Rishikesan Kamaleswaran. OnAI-Comp: An Online AI Experts Competing Framework for Early Sepsis Detection |
3604 | -- | 3613 | Lei Li, Zhen Gao, Chun-Hou Zheng 0001, Rong Qi, Yu-Tian Wang, Jian-Cheng Ni. Predicting miRNA-Disease Association Based on Improved Graph Regression |
3614 | -- | 3623 | Fang Jing, Shaowu Zhang 0001, Shihua Zhang. Prediction of Transcription Factor Binding Sites With an Attention Augmented Convolutional Neural Network |
3624 | -- | 3634 | Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, Julia Rahman, Md. Khaled Ben Islam, Shamim Ahmad. predML-Site: Predicting Multiple Lysine PTM Sites With Optimal Feature Representation and Data Imbalance Minimization |
3635 | -- | 3645 | Jun Hu 0010, Yan-Song Bai, Lin-Lin Zheng, Ning-Xin Jia, Dong-jun Yu, Gui-jun Zhang. Protein-DNA Binding Residue Prediction via Bagging Strategy and Sequence-Based Cube-Format Feature |
3646 | -- | 3654 | Minjie Li, Ziheng Wu, Wenyan Wang, Kun Lu, Jun Zhang 0011, Yuming Zhou, Zhaoquan Chen, Dan Li 0025, Shicheng Zheng, Peng Chen 0001, Bing Wang 0004. Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest Algorithm |
3655 | -- | 3662 | Jiangyi Shao, Junjie Chen, Bin Liu 0014. ProtRe-CN: Protein Remote Homology Detection by Combining Classification Methods and Network Methods via Learning to Rank |
3663 | -- | 3672 | Zhen Cui, Zhan-Heng Chen, Qinhu Zhang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang. RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification |
3673 | -- | 3684 | Manuel Cáceres, Brendan Mumey, Edin Husic, Romeo Rizzi, Massimo Cairo, Kristoffer Sahlin, Alexandru I. Tomescu. Safety in Multi-Assembly via Paths Appearing in All Path Covers of a DAG |
3685 | -- | 3694 | Hai-Yun Wang, Jian-ping Zhao 0001, Yan-Sen Su, Chun-Hou Zheng 0001. scCDG: A Method Based on DAE and GCN for scRNA-Seq Data Analysis |
3695 | -- | 3703 | Yujie Wang, Tianhao Guan, Gang Zhou, Hongqian Zhao, Jie Gao. SOJNMF: Identifying Multidimensional Molecular Regulatory Modules by Sparse Orthogonality-Regularized Joint Non-Negative Matrix Factorization Algorithm |
3704 | -- | 3714 | Xaona Song, Xingru Li, Shuai Song, Choon Ki Ahn. State Observer Design of Coupled Genetic Regulatory Networks With Reaction-Diffusion Terms via Time-Space Sampled-Data Communications |
3715 | -- | 3724 | Mirza Jawad ul Hasnain, Farhat Amin, Aisha Ghani, Sibtain Ahmad, Ziaur Rahman, Tahera Aslam, Muhammad Tariq Pervez. Structural and Functional Impact of Damaging Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs) on Human VPS35 Protein Using Computational Approaches |
3725 | -- | 3734 | Ying An, Kun Tang, Jianxin Wang 0001. Time-Aware Multi-Type Data Fusion Representation Learning Framework for Risk Prediction of Cardiovascular Diseases |
3735 | -- | 3743 | Zhe Sun, Shuangjia Zheng, Huiying Zhao, Zhangming Niu, Yutong Lu, Yi Pan, Yuedong Yang. To Improve Prediction of Binding Residues With DNA, RNA, Carbohydrate, and Peptide Via Multi-Task Deep Neural Networks |
3744 | -- | 3753 | Esmaeil Nourani, Ehsaneddin Asgari, Alice C. McHardy, Mohammad R. K. Mofrad. TripletProt: Deep Representation Learning of Proteins Based On Siamese Networks |