Gordon K. Smyth - Concepedia

Author

Gordon K. Smyth

Walter and Eliza Hall Institute of Medical Research ORCID

Also Known As

Australian Ovarian Cancer Study, Chad J. Creighton, G K Smyth, G P Smyth, G Smyth, G. K Smyth, G. K. SMYTH, G. K. Smyth, G. P. Smyth, G. Smyth

588

Publications

223.2K

Citations

112

H-Index

308

Concepts

All Affiliations

Walter and Eliza Hall Institute of Medical Research The University of Melbourne Monash University Peter MacCallum Cancer Centre The Royal Melbourne Hospital

About

Gordon K. Smyth is an author at Walter and Eliza Hall Institute of Medical Research specializing in medicine, cell biology, and gene expression.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	67	111	87.5K
2	Engineering	28	40	18.4K
3	Natural Sciences	13	14	43.9K
4	Health Sciences	7	7	510
5	Business	1	1	217

Gordon K. Smyth

300

Publications

208.5K

Citations

105

H-Index

Page 1

	Year	Citations
<tt>edgeR</tt> : a Bioconductor package for differential expression analysis of digital gene expression data Mark D. Robinson, Davis J. McCarthy, Gordon K. Smyth Bioinformatics	2009	42.7K
limma powers differential expression analyses for RNA-sequencing and microarray studies Matthew E. Ritchie, Belinda Phipson, Di Wu, Nucleic Acids Research GeneticsMolecular BiologyTranscriptomics TechnologyLimma PackageGenomics	2015	40.9K
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features Yang Liao, Gordon K. Smyth, Wei Shi Bioinformatics	2013	27.4K
Bioconductor: open software development for computational biology and bioinformatics Robert Gentleman, Vincent J. Carey, Douglas M. Bates, Genome biology	2004	12.4K
Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments Gordon K. Smyth Statistical Applications in Genetics and Molecular Biology Transcriptomics TechnologyEmpirical Bayes MethodsLinear ModelsGene Expression ProfilingComputational Genomics	2004	11.9K
Gene ontology analysis for RNA-seq: accounting for selection bias Matthew D. Young, Matthew J. Wakefield, Gordon K. Smyth, Genome biology	2010	7.6K
voom: precision weights unlock linear model analysis tools for RNA-seq read counts Charity W. Law, Yunshun Chen, Wei Shi, Genome biology	2014	6.4K
Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation Davis J. McCarthy, Yunshun Chen, Gordon K. Smyth Nucleic Acids Research EngineeringGeneticsMolecular BiologyMultifactor Rna-seq ExperimentsTranscriptomics Technology	2012	5.6K
The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote Yang Liao, Gordon K. Smyth, Wei Shi Nucleic Acids Research EngineeringGeneticsStructured DataGenomicsSequence Alignment	2013	3.2K
The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads Yang Liao, Gordon K. Smyth, Wei Shi Nucleic Acids Research R Package RsubreadEngineeringGeneticsGenomicsExon-exon Junctions	2019	3.1K

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