deGPS is a powerful tool for detecting differential expression in RNA-sequencing studies

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(2014) C. Soneson   BIOINFORMATICS

A comparison of methods for differential expression analysis of RNA-seq data

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Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data

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Bayesian analysis of RNA sequencing data by estimating multiple shrinkage priors

(2012) M. A. Van De Wiel et al.   BIOSTATISTICS

Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates

(2012) Steven P. Lund et al.   Statistical Applications in Genetics and Molecular Biology

Normalization, testing, and false discovery rate estimation for RNA-sequencing data

(2011) J. Li et al.   BIOSTATISTICS

ReCount: A multi-experiment resource of analysis-ready RNA-seq gene count datasets

(2011) Alyssa C Frazee et al.   BMC BIOINFORMATICS

Differential expression in RNA-seq: A matter of depth

(2011) S. Tarazona et al.   GENOME RESEARCH

Finding consistent patterns: A nonparametric approach for identifying differential expression in RNA-Seq data

(2011) Jun Li et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data

(2010) Thomas J Hardcastle et al.   BMC BIOINFORMATICS

The developmental transcriptome of Drosophila melanogaster

(2010) Brenton R. Graveley et al.   NATURE

A two-parameter generalized Poisson model to improve the analysis of RNA-seq data

(2010) Sudeep Srivastava et al.   NUCLEIC ACIDS RESEARCH

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

Gene ranking and biomarker discovery under correlation

(2009) V. Zuber et al.   BIOINFORMATICS

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

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

Sequencing technologies — the next generation

(2009) Michael L. Metzker   NATURE REVIEWS GENETICS

A unified approach to false discovery rate estimation

(2008) Korbinian Strimmer   BMC BIOINFORMATICS

Mapping and quantifying mammalian transcriptomes by RNA-Seq

(2008) Ali Mortazavi et al.   NATURE METHODS

RNA-Seq: a revolutionary tool for transcriptomics

(2008) Zhong Wang et al.   NATURE REVIEWS GENETICS

The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing

(2008) U. Nagalakshmi et al.   SCIENCE