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Jiancheng Zhong
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2020 – today
- 2023
- [j11]Jiancheng Zhong, Zuohang Qu, Ying Zhong, Chao Tang, Yi Pan:
Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data. Big Data Min. Anal. 6(2): 185-200 (2023) - [j10]Jiancheng Zhong
, Pan Cui, Yihong Zhu, Qiu Xiao, Zuohang Qu:
DAHNGC: A Graph Convolution Model for Drug-Disease Association Prediction by Using Heterogeneous Network. J. Comput. Biol. 30(9): 1019-1033 (2023) - [j9]Jiahong Yang
, Miaojun Hu, Yao Hu, Zixi Zhang, Jiancheng Zhong:
Diagnosis of Autism Spectrum Disorder (ASD) Using Recursive Feature Elimination-Graph Neural Network (RFE-GNN) and Phenotypic Feature Extractor (PFE). Sensors 23(24): 9647 (2023) - [c9]Jiancheng Zhong
, Wu Qiong
:
Achieving a Balance Between Work and Rest Through Interaction Design. HCI (52) 2023: 426-442 - [c8]Dian Lv
, Jirui Liu
, Jiancheng Zhong
, Zhiyao Ma
, Yijie Guo
:
Save Baby Whale! A Pet Robot as a Medication Reminder for Children with Asthma. HRI (Companion) 2023: 369-372 - [c7]Dian Lv
, Jiancheng Zhong
, Zhiyao Ma
, Jirui Liu
:
Pet Whale Robot Reminds Asthmatic Children of Medication. HRI (Companion) 2023: 813-815 - 2022
- [j8]Minzhu Xie
, Xiaowen Lei, Jiancheng Zhong, Jianxing Ouyang, Guijing Li:
Drug response prediction using graph representation learning and Laplacian feature selection. BMC Bioinform. 23-S(8): 532 (2022) - [c6]HaoRan Zheng, Qiu Xiao, Jiancheng Zhong:
Predicting miRNA-disease associations via multi-channel graph convolutional networks. BIBM 2022: 700-705 - [c5]Jiancheng Zhong, Jiedong Kang, Xingran Song, Qiu Xiao, Yi Pan:
Prediction of miRNA and Disease Association based on Graph Convolution Network using Latent Feature Vector by Positive Samples. BIBM 2022: 706-711 - [c4]Jiancheng Zhong, Pan Cui, Zuohang Qu, Liuping Wang, Qiu Xiao, Yihong Zhu:
Prediction of Drug-Disease Relationship on Heterogeneous Networks Based on Graph Convolution. ISBRA 2022: 243-254 - 2021
- [j7]Jiancheng Zhong, Yusui Sun, Minzhu Xie, Wei Peng, Chushu Zhang, Fang-Xiang Wu
, Jianxin Wang:
Proteoform characterization based on top-down mass spectrometry. Briefings Bioinform. 22(2): 1729-1750 (2021) - [j6]Jiancheng Zhong, Chao Tang, Wei Peng, Minzhu Xie, Yusui Sun, Qiang Tang, Qiu Xiao, Jiahong Yang:
A novel essential protein identification method based on PPI networks and gene expression data. BMC Bioinform. 22(1): 248 (2021) - [j5]Wei Dai, Bingxi Chen, Wei Peng, Xia Li, Jiancheng Zhong, Jianxin Wang:
A Novel Multi-Ensemble Method for Identifying Essential Proteins. J. Comput. Biol. 28(7): 637-649 (2021)
2010 – 2019
- 2019
- [c3]Wei Dai, Qi Chang, Wei Peng, Jiancheng Zhong, Yongjiang Li:
Identifying Human Essential Genes by Network Embedding Protein-Protein Interaction Network. ISBRA 2019: 127-137 - [c2]Wei Dai, Xia Li, Wei Peng, Jurong Song, Jiancheng Zhong, Jianxin Wang:
Improving Identification of Essential Proteins by a Novel Ensemble Method. ISBRA 2019: 146-155 - 2017
- [j4]Jiancheng Zhong, Jianxin Wang
, Xiaojun Ding, Zhen Zhang, Min Li
, Fang-Xiang Wu
, Yi Pan
:
Protein Inference from the Integration of Tandem MS Data and Interactome Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1399-1409 (2017) - 2016
- [j3]Zhen Zhang, Jianxin Wang, Junwei Luo, Xiaojun Ding, Jiancheng Zhong, Jun Wang, Fang-Xiang Wu
, Yi Pan
:
Sprites: detection of deletions from sequencing data by re-aligning split reads. Bioinform. 32(12): 1788-1796 (2016) - 2015
- [j2]Jianxin Wang, Jiancheng Zhong, Gang Chen, Min Li, Fang-Xiang Wu
, Yi Pan
:
ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 815-822 (2015) - [c1]Xiaoqing Peng, Jianxin Wang, Jiancheng Zhong, Junwei Luo, Yi Pan
:
An efficient method to identify essential proteins for different species by integrating protein subcellular localization information. BIBM 2015: 277-280 - 2014
- [j1]Xiwei Tang, Jianxin Wang, Jiancheng Zhong, Yi Pan
:
Predicting Essential Proteins Basedon Weighted Degree Centrality. IEEE ACM Trans. Comput. Biol. Bioinform. 11(2): 407-418 (2014)
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