Publications

1. Ritchie, ME, Phipson, B, Wu, D, Hu, Y, Law, CW, Shi, W, and Smyth, GK (2015). limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Research 43, e47. PMID: 25605792
2. Lun, ATL and Smyth, GK (2014). De novo detection of differentially bound regions for ChIP-seq data using peaks and windows: controlling error rates correctly. Nucleic Acids Research 42, e95. PMID: 24852250
3. Law, CW, Chen, Y, Shi, W, and Smyth, GK. Voom: precision weights unlock linear model analysis tools for RNA-seq read counts. Genome Biology 2014. 15, R29. PMID: 24485249
4. Wu, D, Smyth, GK. Camera: a competitive gene set test accounting for inter-gene correlation. Nucleic Acids Research 2012. 40, e133. PMID: 22638577
5. McCarthy, DJ, Chen, Y, Smyth, GK. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation. Nucleic Acids Research 2012. 40, 4288-4297. PMID: 22287627
6. Wu, D, Lim, E, François Vaillant, F, Asselin-Labat, M-L, Visvader, JE, and Smyth, GK. ROAST: rotation gene set tests for complex microarray experiments. Bioinformatics 2010. 26, 2176-2182. PMID: 20610611
7. Robinson, M, McCarthy, DJ, Smyth, GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 2010. 26, 139-140. PMID: 19910308
8. Robinson, MD, and Smyth, GK. Moderated statistical tests for assessing differences in tag abundance. Bioinformatics 2007. 23, 2881-2887. PMID: 17881408
9. Smyth, G. K., Michaud, J., and Scott, H. Use of within-array replicate spots for assessing differential expression in microarray experiments. Bioinformatics 2005. 21(9), 2067-2075. PMID: 15657102
10. Smyth, G. K. Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Statistical Applications in Genetics and Molecular Biology 2004. 3, No. 1, Article 3. PMID: 16646809