Author

Zheng Zhang

Hunan UniversityORCID 0000-0002-3544-1389Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Zheng Zhang9 papers · University of California San Diego

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1

Frequent Co-Authors

Aiping WuiD· 1 shared Alberto StolfiiD· 1 shared Biao ZhangiD· 1 shared Bin SuiD· 1 shared Bin ZouiD· 1 shared Bing SuiD· 1 shared Chen W. JiangiD· 1 shared Chonghai Yin· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperBioinformatics

Aiping WuORCID

Author profile →

3 papers

Recent·Most cited

Evolution of a chordate-specific mechanism for myoblast fusion

Haifeng Zhang, Renjie Shang, Kwantae Kim, Wei Hui Zheng, Christopher J. Johnson, Lei Sun, Xiang Niu, Liang Liu, Jingqi Zhou, Lingshu Liu, Zheng Zhang, Theodore A. Uyeno, Jimin Pei, Skye Daniel Fissette, Stephen A. Green, , Pengpeng Bi

The paper investigates the evolutionary origins of myoblast fusion mechanisms in chordates, identifying the emergence of Myomaker and Myomixer and their roles in muscle development across species.

Science Advances · Sep 2, 2022Peer-reviewedDevelopmental Biology

Large-scale single-cell analysis reveals critical immune characteristics of COVID-19 patients

Xianwen Ren, Wen Wen, Xiaoying Fan, Wenhong Hou, Bin Su, Pengfei Cai, Jiesheng Li, Yang Liu, Fei Tang, Fan Zhang, Yu Yang, Jiangping He, Wenji Ma, Jingjing He, Pingping Wang, , Zemin Zhang

This study uses single-cell RNA sequencing to analyze immune responses in COVID-19 patients, identifying key immune cell changes and molecular pathways linked to disease severity.

bioRxiv · Oct 29, 2020 · PreprintGenomics

Prediction of the receptorome for the human-infecting virome

Zheng Zhang, Sifan Ye, Aiping Wu, Taijiao Jiang, Yousong Peng

The paper predicts the receptorome for the human-infecting virome using a random-forest model and protein-protein interaction data, identifying 1380 human cell membrane proteins and 693 virus-specific receptors.

Virologica Sinica · Jul 28, 2020Peer-reviewedBioinformatics