Predicting Essential Proteins Basedon Weighted Degree Centrality. - Xiwei Tang; Jianxin Wang 001; Jiancheng Zhong; Yi Pan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

An efficient method to identify essential proteins for different species by integrating protein subcellular localization information. - Xiaoqing Peng; Jianxin Wang 001; Jiancheng Zhong; Junwei Luo; Yi Pan 001 (BIBM, 2015)

ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network. - Jianxin Wang 001; Jiancheng Zhong; Gang Chen 010; Min Li 007; Fang-Xiang Wu; Yi Pan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Sprites: detection of deletions from sequencing data by re-aligning split reads. - Zhen Zhang 024; Jianxin Wang 001; Junwei Luo; Xiaojun Ding; Jiancheng Zhong; Jun Wang 153; Fang-Xiang Wu; Yi Pan 001 (Bioinform., 2016)

Protein Inference from the Integration of Tandem MS Data and Interactome Networks. - Jiancheng Zhong; Jianxin Wang 001; Xiaojun Ding; Zhen Zhang 024; Min Li 007; Fang-Xiang Wu; Yi Pan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Identifying Human Essential Genes by Network Embedding Protein-Protein Interaction Network. - Wei Dai 012; Qi Chang; Wei Peng 004; Jiancheng Zhong; Yongjiang Li (ISBRA, 2019)

Improving Identification of Essential Proteins by a Novel Ensemble Method. - Wei Dai 012; Xia Li 004; Wei Peng 004; Jurong Song; Jiancheng Zhong; Jianxin Wang 001 (ISBRA, 2019)

Proteoform characterization based on top-down mass spectrometry. - Jiancheng Zhong; Yusui Sun; Minzhu Xie; Wei Peng 004; Chushu Zhang; Fang-Xiang Wu; Jianxin Wang 001 (Briefings Bioinform., 2021)

A novel essential protein identification method based on PPI networks and gene expression data. - Jiancheng Zhong; Chao Tang; Wei Peng 004; Minzhu Xie; Yusui Sun; Qiang Tang; Qiu Xiao; Jiahong Yang (BMC Bioinform., 2021)

A Novel Multi-Ensemble Method for Identifying Essential Proteins. - Wei Dai 012; Bingxi Chen; Wei Peng 004; Xia Li 004; Jiancheng Zhong; Jianxin Wang 001 (J. Comput. Biol., 2021)

Predicting miRNA-disease associations via multi-channel graph convolutional networks. - HaoRan Zheng; Qiu Xiao; Jiancheng Zhong (BIBM, 2022)

Prediction of miRNA and Disease Association based on Graph Convolution Network using Latent Feature Vector by Positive Samples. - Jiancheng Zhong; Jiedong Kang; Xingran Song; Qiu Xiao; Yi Pan 001 (BIBM, 2022)

Prediction of Drug-Disease Relationship on Heterogeneous Networks Based on Graph Convolution. - Jiancheng Zhong; Pan Cui; Zuohang Qu; Liuping Wang; Qiu Xiao; Yihong Zhu (ISBRA, 2022)

Drug response prediction using graph representation learning and Laplacian feature selection. - Minzhu Xie; Xiaowen Lei; Jiancheng Zhong; Jianxing Ouyang; Guijing Li (BMC Bioinform., 2022)

Achieving a Balance Between Work and Rest Through Interaction Design. - Jiancheng Zhong; Wu Qiong (HCI (52), 2023)

Save Baby Whale! A Pet Robot as a Medication Reminder for Children with Asthma. - Dian Lv; Jirui Liu; Jiancheng Zhong; Zhiyao Ma; Yijie Guo (HRI (Companion), 2023)

Pet Whale Robot Reminds Asthmatic Children of Medication. - Dian Lv; Jiancheng Zhong; Zhiyao Ma; Jirui Liu (HRI (Companion), 2023)

Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data. - Jiancheng Zhong; Zuohang Qu; Ying Zhong; Chao Tang; Yi Pan 001 (Big Data Min. Anal., 2023)

DAHNGC: A Graph Convolution Model for Drug-Disease Association Prediction by Using Heterogeneous Network. - Jiancheng Zhong; Pan Cui; Yihong Zhu; Qiu Xiao; Zuohang Qu (J. Comput. Biol., 2023)

Diagnosis of Autism Spectrum Disorder (ASD) Using Recursive Feature Elimination-Graph Neural Network (RFE-GNN) and Phenotypic Feature Extractor (PFE). - Jiahong Yang; Miaojun Hu; Yao Hu; Zixi Zhang; Jiancheng Zhong (Sensors, 2023)

Multi-source Data-driven Drug Repositioning based on Deep Self-attention Network. - Bin Chen; Qiu Xiao; Zhuo Huang; Tuo Xiong; Yide Yang; Jiancheng Zhong (BIBM, 2024)

PrSMBooster: Improving the Accuracy of Top-Down Proteoform Characterization Using Deep Learning Rescoring Models. - Jiancheng Zhong; Chen Yang; Maoqi Yuan; Shaokai Wang (ISBRA (3), 2024)

ScFold: a GNN-based model for efficient inverse folding of short-chain proteins via spatial reduction. - Jiancheng Zhong; Zhiwei Zou; Jie Qiu; Shaokai Wang (Briefings Bioinform., 2024)