期刊
NATURE METHODS
卷 14, 期 7, 页码 687-+出版社
NATURE PORTFOLIO
DOI: 10.1038/nmeth.4324
关键词
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资金
- NIH [R01 DK094699, R01 HG006129]
We describe sleuth (http://pachterlab.github.io/sleuth), a method for the differential analysis of gene expression data that utilizes bootstrapping in conjunction with response error linear modeling to decouple biological variance from inferential variance. sleuth is implemented in an interactive shiny app that utilizes kallisto quantifications and bootstraps for fast and accurate analysis of data from RNA-seq experiments.
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