The NBP Negative Binomial Model for Assessing Differential Gene Expression from RNA-Seq

摘要: We propose a new statistical test for assessing differential gene expression using RNA sequencing (RNA-Seq) data. Commonly used probability distributions, such as binomial or Poisson, cannot appropriately model the count variability in RNA-Seq data due to overdispersion. The small sample size that is typical this type of also prevents uncritical use tools derived from large-sample asymptotic theory. we based on NBP parameterization negative distribution. It extends an exact proposed by Robinson and Smyth (2007, 2008). In one version Smyth’s test, constant dispersion parameter between biological replicates. introduce additional allow depend mean. Our parametric method complements nonparametric regression approaches modeling parameter. apply Arabidopsis set range simulated sets. results show simple, powerful reasonably robust against departures assumptions.