OLS and Multivariate Analysis of Variance test for gene set analysis



A gene set analysis function for one-sided test (OLS) and two-sided test (multivariate analysis of variance). Three multiple comparison procedures, Dunnett, Tukey, and sequential pairwise comparison, are implemented. MAVTgsa computes the p-values and FDR (false discovery rate) q-values for all gene sets. The p-values for individual genes in a significant gene set are also listed. MAVTgsa generates a GST-plot of the empirical distribution function of the ranked test statistics of a given gene set.


Package: MAVTgsa
Type: Package
Version: 1.0
Date: 2012-10-04
License: What license is it under?
LazyLoad: yes


Chih-Yi Chien, Chen-An Tsai, Ching-Wei Chang, and James J. Chen

Maintainer: Chih-Yi Chien <chihyi.chien@fda.hhs.gov>


Chen,J.J. et al. (2007) Significance analysis of group of genes in expression profiling studies, Bioinformatics, 23, 2104.

Tsai,C.A. et al. (2009) Multivariate analysis of variance test for gene set analysis. Bioinformatics, 25, 897.