BioinformaticsScientific ReportsPeer-reviewed
Gauss-power mixing distributions comprehensively describe stochastic variations in RNA-seq data
Akinori Awazu, Takahiro Tanabe, Mari Kamitani…·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.
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