Gene expression is the fundamental level at which the results of various genetic and
regulatory programs are observable. The measurement of transcriptome-wide gene …

This article reviews the statistical theory underlying the edgeR software package for
differential expression of RNA-seq data. Negative binomial models are used to capture the …

Traditionally viewed as poorly plastic, neutrophils are now recognized as functionally
diverse; however, the extent and determinants of neutrophil heterogeneity in humans remain …

RNA sequencing (RNA-seq) is one of the most widely used technologies in transcriptomics
as it can reveal the relationship between the genetic alteration and complex biological …

In recent years, RNA sequencing (RNA-seq) has become a very widely used technology for
profiling gene expression. One of the most common aims of RNA-seq profiling is to identify …

Autophagy captures intracellular components and delivers them to lysosomes, where they
are degraded and recycled to sustain metabolism and to enable survival during starvation …

Abstract Motivation The Gamma-Poisson distribution is a theoretically and empirically
motivated model for the sampling variability of single cell RNA-sequencing counts and an …

RNA-seq is now the technology of choice for genome-wide differential gene expression
experiments, but it is not clear how many biological replicates are needed to ensure valid …

New normal linear modeling strategies are presented for analyzing read counts from RNA-
seq experiments. The voom method estimates the mean-variance relationship of the log …

The impacts of different macronutrients on body weight regulation remain unresolved, with
different studies suggesting increased dietary fat, increased carbohydrates (particularly …