Related references
Note: Only part of the references are listed.A new shrinkage estimator for dispersion improves differential expression detection in RNA-seq data
Hao Wu et al.
BIOSTATISTICS (2013)
A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments
Mikel Esnaola et al.
BMC BIOINFORMATICS (2013)
A comparison of methods for differential expression analysis of RNA-seq data
Charlotte Soneson et al.
BMC BIOINFORMATICS (2013)
The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote
Yang Liao et al.
NUCLEIC ACIDS RESEARCH (2013)
Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene
Mar Gonzalez-Porta et al.
GENOME BIOLOGY (2013)
Normalization, testing, and false discovery rate estimation for RNA-sequencing data
Jun Li et al.
BIOSTATISTICS (2012)
Efficient experimental design and analysis strategies for the detection of differential expression using RNA-Sequencing
Jose A. Robles et al.
BMC GENOMICS (2012)
Landscape of transcription in human cells
Sarah Djebali et al.
NATURE (2012)
Camera: a competitive gene set test accounting for inter-gene correlation
Di Wu et al.
NUCLEIC ACIDS RESEARCH (2012)
Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation
Davis J. McCarthy et al.
NUCLEIC ACIDS RESEARCH (2012)
A powerful and flexible approach to the analysis of RNA sequence count data
Yi-Hui Zhou et al.
BIOINFORMATICS (2011)
ReCount: A multi-experiment resource of analysis-ready RNA-seq gene count datasets
Alyssa C. Frazee et al.
BMC BIOINFORMATICS (2011)
The developmental transcriptome of Drosophila melanogaster
Brenton R. Graveley et al.
NATURE (2011)
Evaluating Gene Expression in C57BL/6J and DBA/2J Mouse Striatum Using RNA-Seq and Microarrays
Daniel Bottomly et al.
PLOS ONE (2011)
edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
Mark D. Robinson et al.
BIOINFORMATICS (2010)
ROAST: rotation gene set tests for complex microarray experiments
Di Wu et al.
BIOINFORMATICS (2010)
baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
Thomas J. Hardcastle et al.
BMC BIOINFORMATICS (2010)
Understanding mechanisms underlying human gene expression variation with RNA sequencing
Joseph K. Pickrell et al.
NATURE (2010)
A two-parameter generalized Poisson model to improve the analysis of RNA-seq data
Sudeep Srivastava et al.
NUCLEIC ACIDS RESEARCH (2010)
Conserved developmental transcriptomes in evolutionarily divergent species
Anup Parikh et al.
GENOME BIOLOGY (2010)
From RNA-seq reads to differential expression results
Alicia Oshlack et al.
GENOME BIOLOGY (2010)
A scaling normalization method for differential expression analysis of RNA-seq data
Mark D. Robinson et al.
GENOME BIOLOGY (2010)
Differential expression analysis for sequence count data
Simon Anders et al.
GENOME BIOLOGY (2010)
RNA-Seq: a revolutionary tool for transcriptomics
Zhong Wang et al.
NATURE REVIEWS GENETICS (2009)
A Strand-Specific RNA-Seq Analysis of the Transcriptome of the Typhoid Bacillus Salmonella Typhi
Timothy T. Perkins et al.
PLOS GENETICS (2009)
Stem cell transcriptome profiling via massive-scale mRNA sequencing
Nicole Cloonan et al.
NATURE METHODS (2008)
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Ali Mortazavi et al.
NATURE METHODS (2008)
Moderated statistical tests for assessing differences in tag abundance
Mark D. Robinson et al.
BIOINFORMATICS (2007)
Using GOstats to test gene lists for GO term association
S. Falcon et al.
BIOINFORMATICS (2007)
Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes
Alicia Oshlack et al.
GENOME BIOLOGY (2007)
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Maureen A. Sartor et al.
BMC BIOINFORMATICS (2006)
Empirical array quality weights in the analysis of microarray data
Matthew E. Ritchie et al.
BMC BIOINFORMATICS (2006)
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
A Subramanian et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2005)
Use of within-array replicate spots for assessing differential expression in microarray experiments
GK Smyth et al.
BIOINFORMATICS (2005)
X-inactivation profile reveals extensive variability in X-linked gene expression in females
L Carrel et al.
NATURE (2005)
Improved statistical tests for differential gene expression by shrinking variance components estimates
XG Cui et al.
BIOSTATISTICS (2005)
Bioconductor: open software development for computational biology and bioinformatics
RC Gentleman et al.
GENOME BIOLOGY (2004)
A random variance model for detection of differential gene expression in small microarray experiments
GW Wright et al.
BIOINFORMATICS (2003)
The male-specific region of the human Y chromosome is a mosaic of discrete sequence classes
H Skaletsky et al.
NATURE (2003)
A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
BM Bolstad et al.
BIOINFORMATICS (2003)
Significance analysis of microarrays applied to the ionizing radiation response
VG Tusher et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2001)
Share Paper
