Journal of Biometrics & Biostatistics

Shesh N Rai

Publications

• Research Article
  Inference and Sample Size Calculations Based on Statistical Tests in a Negative Binomial Distribution for Differential Gene Expression in RNAseq Data
  Author(s): Xiaohong Li, Nigel GF Cooper, Yu Shyr, Dongfeng Wu, Eric C Rouchka, Ryan S Gill, Timothy E O’Toole, Guy N Brock and Shesh N RaiXiaohong Li, Nigel GF Cooper, Yu Shyr, Dongfeng Wu, Eric C Rouchka, Ryan S Gill, Timothy E O’Toole, Guy N Brock and Shesh N Rai
  
  The high throughput RNA sequencing (RNA-seq) technology has become the popular method of choice for transcriptomics and the detection of differentially expressed genes. Sample size calculations for RNA-seq experimental design are an important consideration in biological research and clinical trials. Currently, the sample size formulas derived from the Wald and the likelihood ratio statistical tests with a Poisson distribution to model RNA-seq data have been developed. However, since the mean read counts in the real RNA-seq data are not equal to the variance, an extended method to calculate sample sizes based on a negative binomial distribution using an exact test statistic was proposed by Li et al. in 2013. In this study, we alternatively derive five sample size calculation methods based on the negative binomial distribution using the Wald test, the log-transformed Wald test and the l.. Read More»
  DOI: 10.4172/2155-6180.1000332

  Abstract PDF