Article
MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.
Genome biology - 10 Dec 2015
Finak Greg, McDavid Andrew, Yajima Masanao, Deng Jingyuan, Gersuk Vivian, Shalek Alex K, Slichter Chloe K, Miller Hannah W, McElrath M Juliana, Prlic Martin, Linsley Peter S, Gottardo Raphael
Abstract excerpt
Single-cell transcriptomics reveals gene expression heterogeneity but suffers from stochastic dropout and characteristic bimodal expression distributions in which expression is either strongly non-zero or non-detectable. We propose a two-part, generalized linear model for such bimodal data that parameterizes both of these features. We argue that the cellular detection rate, the fraction of genes expressed in a...
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