Author

Chen Jiang

University of Science and Technology of ChinaORCID 0000-0002-1415-185XUnclaimed ORCID profile · follow to get notified of new preprints

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Chen Jiang2 papers · Tsinghua University

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Bin LiiD· 2 shared Jingwen FangiD· 2 shared Jun LiniD· 2 shared Kun LiiD· 2 shared Kun QuiD· 2 shared Pengfei CaiiD· 2 shared Qiaoni YuiD· 2 shared Wen ZhangiD· 2 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Bin LiORCID

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2 papers

Recent·Most cited

GenomicsNature CommunicationsPeer-reviewedAug 6, 2020

Single-cell analysis of severe COVID-19 patients reveals a monocyte-driven inflammatory storm attenuated by Tocilizumab

Chuang Guo, Bin Li, Huan Ma…·Kun Qu

The paper uses single-cell analysis to show that Tocilizumab reduces monocyte-driven inflammation in severe COVID-19 but does not fully suppress immune responses.

206 citationstop 3%

𝕏 PostBluesky

BioinformaticsGenome biologyPeer-reviewedMay 12, 2020

APEC: an accesson-based method for single-cell chromatin accessibility analysis

Bin Li, Young Li, Kun Li…·Kun Qu

APEC improves single-cell chromatin accessibility analysis by clustering cells based on accessible regions and integrates with other tools to enhance clustering accuracy and predict gene expression and regulatory elements.

16 citations

mousescATAC-seq

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