MAST: A novel statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA-seq data

MAST: A novel statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA-seq data

Statistics and Genomics Seminar
Mar 3, 2016, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Raphael Gottardo, Fred Hutchinson Cancer Research Center
Single-cell transcriptomic profiling enables the unprecedented interrogation of gene expression heterogeneity in rare cell populations that would otherwise be obscured in bulk RNA sequencing experiments. The stochastic nature of transcription is revealed in the bimodality of single-cell transcriptomic data, a feature shared across many single-cell expression platforms. There is, however, a...