Differential analysis of RNA-seq incorporating quantification uncertainty
Nature methods, 2017•nature.com
Abstract 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.
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.
Abstract
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.
nature.com