OLS and Multivariate Analysis of Variance test for gene set analysis

Share:

Description

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.

Details

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

Author(s)

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

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

References

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.