Journal article

ROAST: Rotation gene set tests for complex microarray experiments

D Wu, E Lim, F Vaillant, ML Asselin-Labat, JE Visvader, GK Smyth

Bioinformatics | Published : 2010

Open access

Abstract

Motivation: A gene set test is a differential expression analysis in which a P-value is assigned to a set of genes as a unit. Gene set tests are valuable for increasing statistical power, organizing and interpreting results and for relating expression patterns across different experiments. Existing methods are based on permutation. Methods that rely on permutation of probes unrealistically assume independence of genes, while those that rely on permutation of sample are suitable only for two-group comparisons with a good number of replicates in each group. Results: We present ROAST, a statistically rigorous gene set test that allows for gene-wise correlation while being applicable to almost a..

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