MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

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 para...

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Bibliographic Details
Main Authors: Finak, Greg, McDavid, Andrew, Yajima, Masanao, Deng, Jingyuan, Gersuk, Vivian, Prlic, Martin, Gottardo, Raphael, Slichter, Chloe K., Miller, Hannah W., McElrath, M. Juliana, Linsley, Peter S., Shalek, Alex
Other Authors: Institute for Medical Engineering and Science
Format: Article
Language:English
Published: BioMed Central 2015
Online Access:http://hdl.handle.net/1721.1/100458

Internet

http://hdl.handle.net/1721.1/100458

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