Author

Chenwei Li

Peking UniversityORCID 0000-0002-2090-9997Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Organism:human· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Zemin ZhangiD· 3 shared Baolin LiuiD· 2 shared Dongfang WangiD· 2 shared Xianwen ReniD· 2 shared Boxi KangiD· 1 shared Changya CheniD· 1 shared Du Xiao· 1 shared Fei Li Tang· 1 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Zemin ZhangORCID

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3 papers

Recent·Most cited

Pan-cancer tumor classification by a holistic tumor microenvironment atlas

Shishang Qin, Du Xiao, Jinhu Li, Nan Jiang, Tian Diao, Yufei Bo, Qinhang Gao, Liangtao Zheng, Xinnan Ling, Q. Gao, Xiangjie Li, Sen Gao, Fei Li Tang, Wen Zhang, Chenwei Li, , Zemin Zhang

This paper develops a pan-cancer tumor classification system based on tumor microenvironment cellular components, identifying immune-activation patterns and therapeutic response stratifications.

bioRxiv · Dec 27, 2025 · PreprintCancer Biology

ROGUE: an entropy-based universal metric for assessing the purity of single cell population

Baolin Liu, Chenwei Li, Ziyi Li, Dongfang Wang, Xianwen Ren, Zemin Zhang

ROGUE quantifies cell cluster purity in scRNA-seq data, identifying subtypes and improving analysis of specific subpopulations across datasets.

Nature Communications · Jun 22, 2020Peer-reviewedBioinformatics

SciBet: a portable and fast single cell type identifier

Chenwei Li, Baolin Liu, Boxi Kang, Zedao Liu, Yedan Liu, Changya Chen, Xianwen Ren, Zemin Zhang

SciBet is a Bayesian classifier for single-cell RNA sequencing data that predicts cell identity and can be deployed locally via a web client.

Nature Communications · Apr 14, 2020Peer-reviewedBioinformatics