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DEsingle: A new method for single-cell differentially expressed genes detection and classification
View ORCID ProfileZhun Miao, View ORCID ProfileXuegong Zhang
doi: https://doi.org/10.1101/173997
Zhun Miao
1MOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; Department of Automation, Tsinghua University, Beijing 100084, China
Xuegong Zhang
1MOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; Department of Automation, Tsinghua University, Beijing 100084, China
2School of Life Sciences, Tsinghua University, Beijing 100084, China
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Posted August 10, 2017.
DEsingle: A new method for single-cell differentially expressed genes detection and classification
Zhun Miao, Xuegong Zhang
bioRxiv 173997; doi: https://doi.org/10.1101/173997
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