A robust approach for identifying differentially abundant features in metagenomic samples

Accurate genome relative abundance estimation for closely related species in a metagenomic sample

(2014) Michael B Sohn et al.   BMC BIOINFORMATICS

Differential abundance analysis for microbial marker-gene surveys

(2013) Joseph N Paulson et al.   NATURE METHODS

A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis

(2012) M.-A. Dillies et al.   BRIEFINGS IN BIOINFORMATICS

A metagenome-wide association study of gut microbiota in type 2 diabetes

(2012) Junjie Qin et al.   NATURE

Metagenomics and Personalized Medicine

(2011) Herbert W. Virgin et al.   CELL

Hierarchical Clustering With Prototypes via Minimax Linkage

(2011) Jacob Bien et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Gut Microbiota in Human Adults with Type 2 Diabetes Differs from Non-Diabetic Adults

(2010) Nadja Larsen et al.   PLoS One

A scaling normalization method for differential expression analysis of RNA-seq data

(2010) Mark D Robinson et al.   GENOME BIOLOGY

Differential expression analysis for sequence count data

(2010) Simon Anders et al.   GENOME BIOLOGY

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

(2009) M. D. Robinson et al.   BIOINFORMATICS

Botulinum toxin for diabetic neuropathic pain: A randomized double-blind crossover trial

(2009) R. Y. Yuan et al.   NEUROLOGY

Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples

(2009) James Robert White et al.   PLoS Computational Biology