Author

Kexuan Liang

Peking University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:imputation· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Hao GeiD· 1 shared Hongyu ZhaoiD· 1 shared Molei LiuiD· 1 shared Yiliang ZhangiD· 1 shared Yue LiiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Hao GeORCID

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1 paper

Recent·Most cited

SCRIBE: a new approach to dropout imputation and batch effects correction for single-cell RNA-seq data

Yiliang Zhang, Kexuan Liang, Molei Liu, Yue Li, Hao Ge, Hongyu Zhao

SCRIBE imputes dropout events and corrects batch effects in scRNA-seq data, improving recovery of cell-specific gene expression and biological variation.

bioRxiv · Dec 12, 2019 · PreprintBioinformatics