Gauss-power mixing distributions comprehensively describe stochastic variations in RNA-seq data
Akinori Awazu, Takahiro Tanabe, Mari Kamitani, Ayumi Tezuka, Atsushi J. Nagano
The paper analyzes RNA-seq data from Arabidopsis thaliana and Saccharomyces cerevisiae to show that gene expression distributions can be described by Gauss-power mixing distributions, with functional implications for gene types.
Scientific Reports · May 23, 2018Peer-reviewedBioinformatics