Jiancheng Zhong

According to our database, Jiancheng Zhong authored at least 20 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, December, 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., September, 2023

Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data.

Jiancheng Zhong, Zuohang Qu, Ying Zhong, Chao Tang, Yi Pan

Big Data Min. Anal., June, 2023

Pet Whale Robot Reminds Asthmatic Children of Medication.

Dian Lv, Jiancheng Zhong, Zhiyao Ma, Jirui Liu

Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 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

Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Achieving a Balance Between Work and Rest Through Interaction Design.

Jiancheng Zhong, Wu Qiong

Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

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

Prediction of Drug-Disease Relationship on Heterogeneous Networks Based on Graph Convolution.

Jiancheng Zhong, Pan Cui, Zuohang Qu, Liuping Wang, Qiu Xiao, Yihong Zhu

Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Predicting miRNA-disease associations via multi-channel graph convolutional networks.

HaoRan Zheng, Qiu Xiao, Jiancheng Zhong

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A Novel Multi-Ensemble Method for Identifying Essential Proteins.

Wei Dai, Bingxi Chen, Wei Peng, Xia Li, Jiancheng Zhong, Jianxin Wang

J. Comput. Biol., 2021

A novel essential protein identification method based on PPI networks and gene expression data.

Jiancheng Zhong, Chao Tang, Wei Peng, Minzhu Xie, Yusui Sun, Qiang Tang, Qiu Xiao, Jiahong Yang

BMC Bioinform., 2021

Proteoform characterization based on top-down mass spectrometry.

Jiancheng Zhong, Yusui Sun, Minzhu Xie, Wei Peng, Chushu Zhang, Fang-Xiang Wu, Jianxin Wang

Briefings Bioinform., 2021

2019

Improving Identification of Essential Proteins by a Novel Ensemble Method.

Wei Dai, Xia Li, Wei Peng, Jurong Song, Jiancheng Zhong, Jianxin Wang

Proceedings of the Bioinformatics Research and Applications - 15th International Symposium, 2019

Identifying Human Essential Genes by Network Embedding Protein-Protein Interaction Network.

Wei Dai, Qi Chang, Wei Peng, Jiancheng Zhong, Yongjiang Li

Proceedings of the Bioinformatics Research and Applications - 15th International Symposium, 2019

2017

Protein Inference from the Integration of Tandem MS Data and Interactome Networks.

Jiancheng Zhong, Jianxin Wang, Xiaojun Ding, Zhen Zhang, Min Li, Fang-Xiang Wu, Yi Pan

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

2016

Sprites: detection of deletions from sequencing data by re-aligning split reads.

Zhen Zhang, Jianxin Wang, Junwei Luo, Xiaojun Ding, Jiancheng Zhong, Jun Wang, Fang-Xiang Wu, Yi Pan

Bioinform., 2016

2015

ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network.

Jianxin Wang, Jiancheng Zhong, Gang Chen, Min Li, Fang-Xiang Wu, Yi Pan

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

An efficient method to identify essential proteins for different species by integrating protein subcellular localization information.

Xiaoqing Peng, Jianxin Wang, Jiancheng Zhong, Junwei Luo, Yi Pan

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Predicting Essential Proteins Basedon Weighted Degree Centrality.

Xiwei Tang, Jianxin Wang, Jiancheng Zhong, Yi Pan

IEEE ACM Trans. Comput. Biol. Bioinform., 2014