Abstract is missing.
- A Novel Clustering-Framework of Gene Expression Data Based on the Combination Between Deep Learning and Self-organizing MapYan Cui, Huacheng Gao, Rui Zhang, Yuanyuan Lu, Yuan Xue, Chun-Hou Zheng. 3-13 [doi]
- Tumor Gene Selection and Prediction via Supervised Correlation Analysis Based F-Score MethodJia-Jun Cheng, Bo Li. 14-20 [doi]
- A Machine Learning Based Method to Identify Differentially Expressed GenesBolin Chen, Li Gao, Xuequn Shang. 21-31 [doi]
- Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware ModelsMarta Lovino, Gianpaolo Bontempo, Giansalvo Cirrincione, Elisa Ficarra. 32-42 [doi]
- Inference Method for Reconstructing Regulatory Networks Using Statistical Path-Consistency Algorithm and Mutual InformationYan Yan, Xinan Zhang, Tianhai Tian. 45-56 [doi]
- Exploring lncRNA-MRNA Regulatory Modules Based on lncRNA Similarity in Breast CancerLei Tian, Shu-Lin Wang, Xing Zhong. 57-66 [doi]
- Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter ClassificationYing He, Zhen Shen, Qinhu Zhang, Siguo Wang, Changan Yuan 0001, Xiao Qin 0005, Hongjie Wu, Xingming Zhao. 67-78 [doi]
- A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding SitesSiguo Wang, Zhen Shen, Ying He, Qinhu Zhang, Changan Yuan 0001, Xiao Qin 0005, Hongjie Wu, Xingming Zhao. 79-89 [doi]
- Predicting in-Vitro Transcription Factor Binding Sites with Deep Embedding Convolution NetworkYindong Zhang, Qinhu Zhang, Changan Yuan 0001, Xiao Qin 0005, Hongjie Wu, Xingming Zhao. 90-100 [doi]
- Prediction of Membrane Protein Interaction Based on Deep Residual LearningTengsheng Jiang, Hongjie Wu, Yuhui Chen, Haiou Li, Jin Qiu, Weizhong Lu, Qiming Fu. 103-108 [doi]
- GCNSP: A Novel Prediction Method of Self-Interacting Proteins Based on Graph Convolutional NetworksLei Wang 0121, Zhu-Hong You, Xin Yan, Kai Zheng 0020, Zheng-Wei Li. 109-120 [doi]
- Predicting Protein-Protein Interactions from Protein Sequence Using Locality Preserving Projections and Rotation ForestXinke Zhan, Zhuhong You, Changqing Yu, Jie Pan, Ruiyang Li. 121-131 [doi]
- Predicting Protein-Protein Interactions from Protein Sequence Information Using Dual-Tree Complex Wavelet TransformJie Pan, Zhuhong You, Changqing Yu, Li-ping Li, Xinke Zhan. 132-142 [doi]
- Biomarkers Selection of Abnormal Functional Connections in Schizophrenia with $ {\mathbf{\ell }}_{{{\mathbf{2, 1 - 2}}}} $-Norm Based Sparse Regularization Feature Selection MethodNa Gao, Chen Qiao, Shun Qi, Kai Ren, Jian Chen, Hanfeng Fang. 145-158 [doi]
- Identification and Analysis of Genes Involved in Stages of Colon CancerBolin Chen, Teng Wang, Xuequn Shang. 161-172 [doi]
- Take It or Leave It: - A Computational Model for Flexibility in Decision-Making in Downregulating Negative EmotionsNimat Ullah, Sander L. Koole, Jan Treur. 175-187 [doi]
- A Network-Driven Approach for LncRNA-Disease Association MappingLin Yuan, Tao Sun, Jing Zhao, Song Liu, Ai Min Li, Qin Lu, Yu-Shui Geng, Xin Gang Wang. 188-197 [doi]
- A Graph Convolutional Matrix Completion Method for miRNA-Disease Association PredictionWei Wang, Jiawei Luo, Cong Shen, Nguyen Hoang Tu. 201-215 [doi]
- An Efficient Computational Method to Predict Drug-Target Interactions Utilizing Structural Perturbation MethodXinguo Lu, Fang Liu, Li Ding, Xinyu Wang, Jinxin Li, Yue Yuan. 216-226 [doi]
- Predicting Human Disease-Associated piRNAs Based on Multi-source Information and Random ForestKai Zheng, Zhu-Hong You, Lei Wang 0121, Hao-Yuan Li, Bo-Ya Ji. 227-238 [doi]
- Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention NetworksKai Zheng 0020, Zhu-Hong You, Lei Wang 0121, Leon Wong, Zhan-Heng Chen. 239-250 [doi]
- A Novel Improved Algorithm for Protein Classification Through a Graph Similarity ApproachHsin-Hung Chou, Ching-Tien Hsu, Hao-Ching Wang, Sun-Yuan Hsieh. 251-261 [doi]
- LncRNA-Disease Association Prediction Based on Graph Neural Networks and Inductive Matrix CompletionLin Yuan, Jing Zhao, Tao Sun, Xuesong Jiang, Zhen-Yu Yang, Xin Gang Wang, Yu-Shui Geng. 262-269 [doi]
- Prediction of lncRNA-miRNA Interactions via an Embedding Learning Graph Factorize Over Heterogeneous Information NetworkJi-Ren Zhou, Zhu-Hong You, Li Cheng, Xi Zhou, Hao-Yuan Li. 270-278 [doi]
- Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence InformationZhen-Hao Guo, Zhu-Hong You, Li-ping Li, Zhan-Heng Chen, Hai-Cheng Yi, Yan-Bin Wang. 279-289 [doi]
- Identification of Rice Drought-Resistant Gene Based on Gene Expression Profiles and Network Analysis AlgorithmYujia Gao, Yiqiong Chen, Zhiyu Ma, Tao Zeng, Iftikhar Ahmad, Youhua Zhang, Zhenyu Yue. 290-301 [doi]
- Identification of Human LncRNA-Disease Association by Fast Kernel Learning-Based Kronecker Regularized Least SquaresWen Li, Shulin Wang, Junlin Xu, Jialiang Yang. 302-315 [doi]
- A Gaussian Kernel Similarity-Based Linear Optimization Model for Predicting miRNA-lncRNA InteractionsLeon Wong, Zhu-Hong You, Yu-An Huang, Xi Zhou, Mei-Yuan Cao. 316-325 [doi]
- Identification of Autistic Risk Genes Using Developmental Brain Gene Expression DataZhi-an Huang, Yu-An Huang, Zhu-Hong You, Shanwen Zhang, Changqing Yu, Wenzhun Huang. 326-338 [doi]
- A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder ModelHai-Cheng Yi, Zhu-Hong You, Xiao-Rui Su, De-Shuang Huang, Zhen-Hao Guo. 339-347 [doi]
- Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations NetworkZhan-Heng Chen, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi, Gong-Xu Luo, Yan-Bin Wang. 348-358 [doi]
- Prediction of Drug-Target Interactions with CNNs and Random ForestXiaoli Lin, Minqi Xu, Haiping Yu. 361-370 [doi]
- DTIFS: A Novel Computational Approach for Predicting Drug-Target Interactions from Drug Structure and Protein SequenceXin Yan, Zhu-Hong You, Lei Wang 0121, Li-ping Li, Kai Zheng, Mei-Neng Wang. 371-383 [doi]
- HGAlinker: Drug-Disease Association Prediction Based on Attention Mechanism of Heterogeneous GraphXiaozhu Jing, Wei Jiang, Zhongqing Zhang, Yadong Wang, Junyi Li. 384-396 [doi]
- A Probabilistic Matrix Decomposition Method for Identifying miRNA-Disease AssociationsKeren He, Ronghui Wu, Zhenghao Zhu, Jinxin Li, Xinguo Lu. 399-410 [doi]
- CT Scan Synthesis for Promoting Computer-Aided Diagnosis Capacity of COVID-19Heng Li, Yan Hu, Sanqian Li, Wenjun Lin, Peng Liu, Risa Higashita, Jiang Liu 0001. 413-422 [doi]
- Traffic Data Prediction Based on Complex-Valued S-System ModelBin Yang, Wei Zhang. 423-431 [doi]
- Classification of Protein Modification Sites with Machine LearningJin Sun, Wenzheng Bao, Yi Cao, Yuehui Chen. 432-445 [doi]
- RFQ-ANN: Artificial Neural Network Model for Predicting Protein-Protein Interaction Based on Sparse MatrixWenzheng Ma, Wenzheng Bao, Yi Cao, Yuehui Chen. 446-454 [doi]
- A Novel Hybrid Algorithm Based on Bacterial Foraging Optimization and Grey Wolf OptimizerXiaobing Gan, Baoyu Xiao. 457-468 [doi]
- An Analysis of K-Means, Particle Swarm Optimization and Genetic Algorithm with Data Clustering TechniqueMaja Gulan, Kaishan Huang. 469-480 [doi]
- A Novel Computational Approach for Predicting Drug-Target Interactions via Network Representation LearningXiao-Rui Su, Zhu-Hong You, Ji-Ren Zhou, Hai-Cheng Yi, Xiao Li 0007. 481-492 [doi]
- Predicting LncRNA-miRNA Interactions via Network Embedding with Integrated Structure and Attribute InformationBo-Wei Zhao, Ping Zhang, Zhu-Hong You, Ji-Ren Zhou, Xiao Li 0007. 493-501 [doi]
- A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding ModelPing Zhang, Bo-Wei Zhao, Leon Wong, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi. 505-513 [doi]
- Expression and Gene Regulation Network of ELF3 in Breast Invasive Carcinoma Based on Data MiningChenxia Ren, Pengyong Han, Chandrasekhar Gopalakrishnan, Caixia Xu, Rajasekaran Ramalingam, ZhengWei Li. 514-523 [doi]
- Embracing Disease Progression with a Learning System for Real World Evidence DiscoveryZefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You. 524-534 [doi]
- Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples ClassificationLiang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng 0001. 537-545 [doi]
- A Short Survey of Multi-objective Immune Algorithm Based on Clonal SelectionLingjie Li, Qiuzhen Lin, Zhong Ming 0001. 549-559 [doi]
- Adaptive Artificial Immune System for Biological Network AlignmentShiqiang Wang, Lijia Ma, Xiao Zhang. 560-570 [doi]
- A Novel Decomposition-Based Multimodal Multi-objective Evolutionary AlgorithmWu Lin, Yuan Li, Naili Luo. 571-582 [doi]
- GTCN: Dynamic Network Embedding Based on Graph Temporal Convolution Neural NetworkZhichao Huang, Jingkuan Zhang, Lijia Ma, Fubing Mao. 583-593 [doi]
- Resource Scheduling Algorithm Based on Evolutionary Computation in Dynamic Cloud EnvironmentQiyuan Yu, Shen Zhong, Naili Luo, Peizhi Huang. 594-606 [doi]
- An Ensemble Classification Technique for Intrusion Detection Based on Dual EvolutionQiuzhen Lin, Chao Hu, Shuo Chen, Peizhi Huang. 607-618 [doi]
- A Novel Stochastic Block Model for Network-Based Prediction of Protein-Protein InteractionsXiaojuan Wang, Pengwei Hu, Lun Hu. 621-632 [doi]