Table of Contents

• MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label PropagationYing-Lian Gao, Meng-Meng Yin, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng 0001. 3-10 [doi]
• Immune-Microbiota Crosstalk Underlying Inflammatory Bowel DiseaseCongmin Xu, Quoc D. Mac, Qiong Jia, Peng Qiu. 11-21 [doi]
• Epidemic Vulnerability Index for Effective Vaccine Distribution Against PandemicHunmin Lee, Mingon Kang, Yingshu Li, Daehee Seo, Donghyun Kim 0001. 22-34 [doi]
• Exploiting Multi-granular Features for the Enhanced Predictive Modeling of COPD Based on Chinese EMRsQing Zhao, Renyan Feng, JianQiang Li, Yanhe Jia. 35-45 [doi]
• Task-Oriented Feature Representation for Spontaneous Speech of AD PatientsJiyun Li, Peng Huang. 46-57 [doi]
• Identification of Protein Markers Predictive of Drug-Specific Survival Outcome in CancersShuting Lin, Jie Zhou, Yiqiong Xiao, Bridget Neary, Yong Teng, Peng Qiu. 58-67 [doi]
• Diabetic Retinopathy Grading Base on Contrastive Learning and Semi-supervised LearningYunchao Gu, Xinliang Wang, JunJun Pan, Zhong Zhou. 68-79 [doi]
• Reinforcement Learning for Diabetes Blood Glucose Control with Meal InformationJinhao Zhu, Yingjia Zhang, Weixiong Rao, Qinpei Zhao, Jiangfeng Li, Congrong Wang. 80-91 [doi]
• Predicting Microbe-Disease Association via Tripartite Network and Relation Graph Convolutional NetworkYueyue Wang, Xiujuan Lei, Yi Pan 0001. 92-104 [doi]
• Combining Model-Based and Model-Free Reinforcement Learning Policies for More Efficient Sepsis TreatmentXiangyu Liu, Chao Yu, Qikai Huang, Luhao Wang, Jianfeng Wu, Xiangdong Guan. 105-117 [doi]
• An Efficient Two-Stage Fusion Network for Computer-Aided Diagnosis of Diabetic FootAnping Song, Hongtao Zhu, Lifang Liu, Ziheng Song, Hongyu Jin 0004. 118-129 [doi]
• A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease AssociationZicheng Che, Wei Peng, Wei Dai, Shoulin Wei, Wei Lan. 130-141 [doi]
• Identification of Gastric Cancer Immune Microenvironment Related Genes with Poor Prognosis and Tumor Immune InfiltrationYishu Wang, Lingyun Xu, Xuehan Tian, Zhe Lin. 142-152 [doi]
• A k-mer Based Approach for SARS-CoV-2 Variant IdentificationSarwan Ali, Bikram Sahoo, Naimat Ullah, Alexander Zelikovskiy, Murray Patterson, Imdadullah Khan. 153-164 [doi]
• A Novel Network Representation of SARS-CoV-2 Sequencing DataSergey Knyazev, Daniel Novikov, Mark Grinshpon, Harman Singh, Ram Ayyala, Varuni Sarwal, Roya Hosseini, Pelin Icer Baykal, Pavel Skums, Ellsworth Campbell, Serghei Mangul, Alex Zelikovsky. 165-175 [doi]
• A Sequence-Based Antibody Paratope Prediction Model Through Combing Local-Global Information and Partner FeaturesShuai Lu, Yuguang Li, Xiaofei Nan, Shoutao Zhang. 179-190 [doi]
• SuccSPred: Succinylation Sites Prediction Using Fused Feature Representation and Ranking MethodRuiquan Ge, Yizhang Luo, Guanwen Feng, Gangyong Jia, Hua Zhang, Chong Xu, Gang Xu 0001, Pu Wang. 191-202 [doi]
• BindTransNet: A Transferable Transformer-Based Architecture for Cross-Cell Type DNA-Protein Binding Sites PredictionZixuan Wang, Xiaoyao Tan, Beichen Li, Yuhang Liu, Qi Shao, Zijing Li, Yihan Yang, Yongqing Zhang. 203-214 [doi]
• Overlapping Protein Complexes Detection Based on Multi-level Topological SimilaritiesWenkang Wang, Xiangmao Meng, Ju Xiang, Min Li. 215-226 [doi]
• LPI-FKLGCN: Predicting LncRNA-Protein Interactions Through Fast Kernel Learning and Graph Convolutional NetworkWen Li, Shulin Wang, Hu-Guo. 227-238 [doi]
• Prediction of Protein Subcellular Localization from Microscopic Images via Few-Shot LearningFrancesco Arcamone, Yanlun Tu, Yang Yang 0030. 241-253 [doi]
• A Novel Pseudo-Labeling Approach for Cell Detection Based on Adaptive ThresholdTian Bai, Zhenting Zhang, Chen Zhao, Xiao Luo. 254-265 [doi]
• Parameter Transfer Learning Measured by Image Similarity to Detect CT of COVID-19Chang Zhao, Shunfang Wang. 266-278 [doi]
• A Novel Prediction Framework for Two-Year Stroke Recurrence Using Retinal ImagesYidan Dai, Yuanyuan Zhuo, Xingxian Huang, Haibo Yu, Xiaomao Fan. 279-288 [doi]
• The Classification System and Biomarkers for Autism Spectrum Disorder: A Machine Learning ApproachZhongyang Dai, Haishan Zhang, Feifei Lin, Shengzhong Feng, Yanjie Wei, Jiaxiu Zhou. 289-299 [doi]
• LiteTrans: Reconstruct Transformer with Convolution for Medical Image SegmentationShuying Xu, Hongyan Quan. 300-313 [doi]
• CFCN: A Multi-scale Fully Convolutional Network with Dilated Convolution for Nuclei Classification and LocalizationBin Xin, Yaning Yang, Dongqing Wei, Shaoliang Peng. 314-323 [doi]
• Image to Image Transfer Makes Malpositioned Teeth OrderlySanbi Luo. 324-335 [doi]
• MIFS: A Peer-to-Peer Medical Images Storage and Sharing System Based on Consortium BlockchainHao Liu, Xia Xiao, Xinglong Zhang, Kenli Li 0001, Shaoliang Peng. 336-347 [doi]
• StarLace: Nested Visualization of Temporal Brain Connectivity DataMing Jing, Yunjing Liu, Xiaoxiao Wang, Li Zhang. 348-359 [doi]
• Batch Weighted Nuclear-Norm Minimization for Medical Image Sequence SegmentationKele Xu, Zijian Gao, Jilong Wang 0007, Yang Wen, Ming Feng, Changjian Wang, Yin Wang. 360-371 [doi]
• Predicting Drug Drug Interactions by Signed Graph Filtering-Based Convolutional NetworksMing Chen, Yi Pan 0001, Chunyan Ji. 375-387 [doi]
• Drug-Target Interaction Prediction Based on Gaussian Interaction Profile and Information EntropyLina Liu, Shuang Yao, Zhaoyun Ding, Maozu Guo 0001, Donghua Yu, Keli Hu. 388-399 [doi]
• A Deep Learning Approach Based on Feature Reconstruction and Multi-dimensional Attention Mechanism for Drug-Drug Interaction PredictionJiang Xie 0003, Jiaming Ouyang, Chang Zhao, Hongjian He, Xin Dong. 400-410 [doi]
• OrgaNet: A Deep Learning Approach for Automated Evaluation of Organoids Viability in Drug ScreeningXuesheng Bian, Gang Li, Cheng Wang 0003, Siqi Shen, Weiquan Liu, Xiuhong Lin, Zexin Chen, Mancheung Cheung, Xióngbiao Luó. 411-423 [doi]
• HGDD: A Drug-Disease High-Order Association Information Extraction Method for Drug Repurposing via HypergraphShanchen Pang, Kuijie Zhang, Shudong Wang, Yuanyuan Zhang, Sicheng He, Wenhao Wu, Sibo Qiao. 424-435 [doi]
• IDOS: Improved D3DOCK on SparkYonghui Cui, Zhijian Xu, Shaoliang Peng. 436-447 [doi]
• A New Deep Learning Training Scheme: Application to Biomedical DataJianhong Cheng, Qichang Zhao, Lei Xu, Jin Liu. 451-459 [doi]
• EEG-Based Emotion Recognition Fusing Spacial-Frequency Domain Features and Data-Driven Spectrogram-Like FeaturesChen Wang, Jingzhao Hu, Ke Liu, Qiaomei Jia, Jiayue Chen, Kun Yang, Jun Feng. 460-470 [doi]
• ECG Arrhythmia Detection Based on Hidden Attention Residual Neural NetworkYuxia Guan, Jinrui Xu, Ning Liu, Jianxin Wang, Ying An. 471-483 [doi]
• EEG-Based Depression Detection with a Synthesis-Based Data Augmentation StrategyXiangyu Wei, Meifei Chen, Manxi Wu, Xiaowei Zhang, Bin Hu 0001. 484-496 [doi]
• Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data AnalysisHe-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai. 499-510 [doi]
• Improving Protein-protein Interaction Prediction by Incorporating 3D Genome InformationZehua Guo 0004, Kai Su, Liangjie Liu, Xianbin Su, Mofan Feng, Song Cao, Mingxuan Zhang, Runqiu Chi, Luming Meng, Guang He, Yi Shi. 511-520 [doi]
• Boosting Metagenomic Classification with Reads Overlap GraphsM. Cavattoni, M. Comin. 521-533 [doi]
• ScDA: A Denoising AutoEncoder Based Dimensionality Reduction for Single-cell RNA-seq DataXiaoshu Zhu, Yongchang Lin, Jian Li, Jianxin Wang, Xiaoqing Peng. 534-545 [doi]
• PickerOptimizer: A Deep Learning-Based Particle Optimizer for Cryo-Electron Microscopy Particle-Picking AlgorithmsHongjia Li, Ge Chen, Shan Gao, Jintao Li 0001, Fa Zhang 0001. 549-560 [doi]
• SkeIn: Sketchy-Intensive Reading Comprehension Model for Multi-choice Biomedical QuestionsJing Li, Shangping Zhong, Kaizhi Chen, Taibiao Li. 561-571 [doi]
• DNA Image Storage Using a Scheme Based on Fuzzy Matching on Natural GenomeJitao Zhang, Shihong Chen, Haoling Zhang, Yue Shen, Zhi-ping. 572-583 [doi]
• Prediction of Virus-Receptor Interactions Based on Similarity and Matrix CompletionLingzhi Zhu, Guihua Duan, Cheng Yan, Jianxin Wang. 584-595 [doi]
• An Efficient Greedy Incremental Sequence Clustering AlgorithmZhen Ju, Huiling Zhang, Jingtao Meng, Jingjing Zhang, Xuelei Li, Jianping Fan 0002, Yi Pan, Weiguo Liu, Yanjie Wei. 596-607 [doi]
• Correlated Evolution in the Small Parsimony FrameworkBrendan Smith, Cristian Navarro-Martinez, Rebecca Buonopane, S. Ashley Byun, Murray Patterson. 608-619 [doi]