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Abstract Details

Activity Number: 586
Type: Invited
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract - #303818
Title: Detecting Differential Expression with Shrinkage Variance Estimate Using Public Databases of Gene Expression Data
Author(s): Zhijin Wu*+
Companies: Brown University
Address: Department of Biostatistics, Providence, RI, , USA
Keywords: Gene Expression ; RNAseq ; Microarray
Abstract:

Gene expression experiments using RNA-seq or microarrays often have limited number of replicates. The most widely used empirical Bayes methods shrink gene specific variance estimates by borrowing information across genes within the same experiments. With gene expression data accumulated for more than 10 years, a large collection of samples are available so that a more gene specific variance may be obtained. We will use the GEO database on human and mouse expression data to establish gene specific prior distribution on variance and develop new shrinkage strategies that borrow strength from the same gene observed under a variety of conditions. We will investigate the sensitivity and specificity of detecting differential expression compared to single experiment based methods.


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