User profiles for Gordon K. Smyth

Gordon K Smyth

Division Head, Bioinformatics, Walter and Eliza Hall Institute of Medical Research
Verified email at wehi.edu.au
Cited by 192909

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

MD Robinson, DJ McCarthy, GK Smyth - bioinformatics, 2010 - academic.oup.com
It is expected that emerging digital gene expression (DGE) technologies will overtake
microarray technologies in the near future for many functional genomics applications. One of the …

Linear models and empirical bayes methods for assessing differential expression in microarray experiments

GK Smyth - Statistical applications in genetics and molecular …, 2004 - degruyter.com
The problem of identifying differentially expressed genes in designed microarray experiments
is considered. Lonnstedt and Speed (2002) derived an expression for the posterior odds …

featureCounts: an efficient general purpose program for assigning sequence reads to genomic features

Y Liao, GK Smyth, W Shi - Bioinformatics, 2014 - academic.oup.com
Motivation: Next-generation sequencing technologies generate millions of short sequence
reads, which are usually aligned to a reference genome. In many applications, the key …

[HTML][HTML] limma powers differential expression analyses for RNA-sequencing and microarray studies

…, DI Wu, Y Hu, CW Law, W Shi, GK Smyth - Nucleic acids …, 2015 - academic.oup.com
limma is an R/Bioconductor software package that provides an integrated solution for analysing
data from gene expression experiments. It contains rich features for handling complex …

Limma: linear models for microarray data

GK Smyth - … and computational biology solutions using R and …, 2005 - Springer
A survey is given of differential expression analyses using the linear modeling features of
the limma package. The chapter starts with the simplest replicated designs and progresses …

[HTML][HTML] voom: Precision weights unlock linear model analysis tools for RNA-seq read counts

CW Law, Y Chen, W Shi, GK Smyth - Genome biology, 2014 - Springer
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-…

Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation

DJ McCarthy, Y Chen, GK Smyth - Nucleic acids research, 2012 - academic.oup.com
A flexible statistical framework is developed for the analysis of read counts from RNA-Seq
gene expression studies. It provides the ability to analyse complex experiments involving …

[HTML][HTML] Gene ontology analysis for RNA-seq: accounting for selection bias

MD Young, MJ Wakefield, GK Smyth, A Oshlack - Genome biology, 2010 - Springer
We present GOseq, an application for performing Gene Ontology (GO) analysis on RNA-seq
data. GO analysis is widely used to reduce complexity and highlight biological processes in …

Orchestrating high-throughput genomic analysis with Bioconductor

…, AK Oleś, A Reyes, P Shannon, GK Smyth… - Nature …, 2015 - nature.com
Bioconductor is an open-source, open-development software project for the analysis and
comprehension of high-throughput data in genomics and molecular biology. The project aims …

Generation of a functional mammary gland from a single stem cell

…, F Vaillant, KJ Simpson, J Stingl, GK Smyth… - Nature, 2006 - nature.com
The existence of mammary stem cells (MaSCs) has been postulated from evidence that the
mammary gland can be regenerated by transplantation of epithelial fragments in mice 1 , 2 , …