| Literature DB >> 27008024 |
Abstract
Power calculation is a critical component of RNA-seq experimental design. The flexibility of RNA-seq experiment and the wide dynamic range of transcription it measures make it an attractive technology for whole transcriptome analysis. These features, in addition to the high dimensionality of RNA-seq data, bring complexity in experimental design, making an analytical power calculation no longer realistic. In this chapter we review the major factors that influence the statistical power of detecting differential expression, and give examples of power assessment using the R package PROPER.Keywords: Experimental design; Gene expression; RNA-Seq; Sample size; Statistical power
Mesh：
Year: 2016 PMID： 27008024 DOI： 10.1007/978-1-4939-3578-9_18
Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745