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Activity Number: 347
Type: Topic Contributed
Date/Time: Tuesday, August 2, 2016 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Genomics and Genetics
Abstract #321440 View Presentation
Title: Statistical Models for Single Cell RNA RNA Analysis
Author(s): Nancy Zhang* and Cheng Jia and Yuchao Jiang and Mingyao Li
Companies: University of Pennsylvania and University of Pennsylvania and University of Pennsylvania and University of Pennsylvania
Keywords: RNA sequencing ; Genomics ; Hierarchical model ; Single cell analysis ; Empirical Bayes ; Gene expression
Abstract:

Traditional gene expression measurements were made on bulk tissue samples containing populations of cells. Recent laboratory advances have made possible the measurement of RNA levels in single cells. This new frontier offers exciting challenges and opportunities. I will describe some of these challenges and propose a new error model for single cell RNAseq that explicitly addresses the technical issues of dropout, amplification artifact, and cell size confounding. I will show that this model can be used in differential expression analysis. I will also show how addressing doe these technical biases allows us to better characterize the stochasticity of gene transcription. This is joint work with Cheng Jia, Yuchao Jiang, and Mingyao Li.


Authors who are presenting talks have a * after their name.

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