Jun 24, 2015 · In this paper, the author first reviews the statistical methods available for detecting DE genes, which have implemented negative binomial (NB) ...
Jun 24, 2015 · RNA-seq has been an increasingly popular high-throughput platform to identify differentially expressed (DE) genes, which is much more reproducible and accurate.
Jun 24, 2015 · RNA-seq has been an increasingly popular high-throughput platform to identify differentially expressed (DE) genes, which.
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Statistical detection of differentially expressed genes based on RNA-seq: from biological to phylogenetic replicates.
This review aims to address mainly the aspects involved in the differentially expressed gene (DEG) analysis from RNA sequencing data (RNA-seq), considering the ...
Jul 31, 2012 · RNA sequencing (RNA-Seq) is rapidly replacing microarrays for profiling gene expression with much improved accuracy and sensitivity.
Missing: phylogenetic | Show results with:phylogenetic
This work introduces Bayesian Analysis of Differential Expression in RNA-sequencing data (BADER), and shows that the posterior samples can be naturally ...
Among the various methods available, EdgeR and Deseq2 are some of the most used techniques for analyzing differential gene expression from RNA-seq data [31].
A flexible statistical framework is developed for the analysis of read counts from RNA-Seq gene expression studies, and parallel computational approaches ...
Bibliographic details on Statistical detection of differentially expressed genes based on RNA-seq: from biological to phylogenetic replicates.