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Areas
Technologies

About

I am a statistical bioinformatician working on gene expression and on the regulatory mechanisms that control gene expression. I develop novel computational and statistical methods for analysing data from high-throughput molecular technologies. I implement these methods in publicly available software tools that have become international standards. Together with collaborators, I use these methodologies to make biomedical discoveries of significance to cancer, immunology and infectious diseases.

Publications

Selected publications from Prof Gordon Smyth

Baldoni PL, Chen L, Smyth GK. Faster and more accurate assessment of differential transcript expression with Gibbs sampling and edgeR v4. NAR Genomics and Bioinformatics. 2024;6(4):10.1093/nargab/lqae151

Baldoni PL, Chen Y, Hediyeh-zadeh S, Liao Y, Dong X, Ritchie ME, Shi W, Smyth GK. Dividing out quantification uncertainty allows efficient assessment of differential transcript expression with edgeR. Nucleic Acids Research. 2024;52(3):10.1093/nar/gkad1167

Li M, Smyth GK. Neither random nor censored: estimating intensity-dependent probabilities for missing values in label-free proteomics. Bioinformatics. 2023;39(5):10.1093/bioinformatics/btad200

Chen Y, Pal B, Lindeman GJ, Visvader JE, Smyth GK. R code and downstream analysis objects for the scRNA-seq atlas of normal and tumorigenic human breast tissue. Scientific Data. 2022;9(1):10.1038/s41597-022-01236-2

Liao Y, Smyth GK, Shi W. The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads. Nucleic Acids Research. 2019;47(8):10.1093/nar/gkz114

Chen Y, Pal B, Visvader JE, Smyth GK. Differential methylation analysis of reduced representation bisulfite sequencing experiments using edgeR. F1000Research. 2017;6:10.12688/f1000research.13196.1

Chen Y, Pal B, Visvader JE, Smyth GK. Differential methylation analysis of reduced representation bisulfite sequencing experiments using edgeR. F1000Research. 2017;6:10.12688/f1000research.13196.2

Chen Y, Lun ATL, Smyth GK. From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline. F1000Research. 2016;5:10.12688/f1000research.8987.1

Phipson B, Lee S, Majewski IJ, Alexander WS, Smyth GK. Robust hyperparameter estimation protects against hypervariable genes and improves power to detect differential expression. The Annals of Applied Statistics. 2016;10(2):10.1214/16-aoas920

Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, Smyth GK. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Research. 2015;43(7):10.1093/nar/gkv007

Lab research projects

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