RnaSeqSampleSize: real data based sample size estimation for RNA sequencing.

ABSTRACT:

Background

One of the most important and often neglected components of a successful RNA sequencing (RNA-Seq) experiment is sample size estimation. A few negative binomial model-based methods have been developed to estimate sample size based on the parameters of a single gene. However, thousands of genes are quantified and tested for differential expression simultaneously in RNA-Seq experiments. Thus, additional issues should be carefully addressed, including the false discovery rate for multiple statistic tests, widely distributed read counts and dispersions for different genes.

Results

To solve these issues, we developed a sample size and power estimation method named RnaSeqSampleSize, based on the distributions of gene average read counts and dispersions estimated from rea

SUBMITTER: Zhao S 

PROVIDER: S-EPMC5975570 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature