Tag Archives: response error linear modeling

Caltech researchers describe 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 ...

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