Workshop in Biostatistics

DATE: November 10, 2016
TIME: 1:30 - 2:50 pm
LOCATION: Medical School Office Building, Rm x303
TITLE: Robust strategies for analysis of single cell mRNA-Seq data
SPEAKER: Elizabeth Purdom
Associate Professor, Department of Statistics, UC Berkeley

 

Abstract:
mRNA sequencing of single cells allows for detection of important subtypes of cells. However, single cell mRNA-Seq can be quite noisy and is generally sparsely sequenced. There are also strong design limitation of many automated single cell sequencing platforms, which can result in difficulties in separating biological signal from potential artifacts. In this talk, we will discuss our strategies for the analysis of single cell mRNA-Seq for detection of subtypes in the context of finding subtypes of neuronal cells. We will introduce our RSEC procedure for robust clustering using subsampling and ensemble clustering methods in order to achieve robust clusters.