Higher order asymptotics for negative binomial regression inferences from RNA-sequencing data.

ABSTRACT: RNA sequencing (RNA-Seq) is the current method of choice for characterizing transcriptomes and quantifying gene expression changes. This next generation sequencing-based method provides unprecedented depth and resolution. The negative binomial (NB) probability distribution has been shown to be a useful model for frequencies of mapped RNA-Seq reads and consequently provides a basis for statistical analysis of gene expression. Negative binomial exact tests are available for two-group comparisons but do not extend to negative binomial regression analysis, which is important for examining gene expression as a function of explanatory variables and for adjusted group comparisons accounting for other factors. We address the adequacy of available large-sample tests for the small sample sizes typic

SUBMITTER: Di Y 

PROVIDER: S-EPMC3683603 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature