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Activity Number: 543
Type: Contributed
Date/Time: Wednesday, August 12, 2015 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract #315157 View Presentation
Title: Sample Size Calculation While Controlling False Discovery Rate for Differential Expression Analysis with RNA-Seq Experiments
Author(s): Ran Bi* and Peng Liu
Companies: Iowa State University and Iowa State University
Keywords: RNA-seq ; Sample Size ; FDR ; Differential Expression ; Voom ; Microarray
Abstract:

RNA-sequencing (RNA-seq) experiments have been popularly applied to transcriptome studies in recent years. Such experiments are still relatively costly. As a result, RNA-seq experiments often employ a small number of replicates. Power analysis and sample size calculation are challenging in the context of differential expression analysis with RNA-seq data. So far, there are very few proposals on sample size calculation for RNA-seq experiments. We propose a procedure for sample size calculation while controlling FDR for RNA-seq experimental design. Our procedure depends on the voom method proposed for RNA-seq data analysis by Law et al. (2014) and the sample size calculation method proposed for microarray experiments by Liu and Hwang (2007). Simulation results demonstrate that the actual power of several popularly applied tests for differential expression is achieved and is close to the desired power for RNA-seq data with sample size calculated based on our method.


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