MAVTgsa: Ordinary least square test and Multivariate Analysis Of Variance
test with n contrasts
A gene set analysis function for one-sided test (OLS) and
two-sided test (multivariate analysis of variance). If the
experimental conditions are equal to 2, the p-value for
Hotelling's t^2 test is calculated. If the experimental
conditions are great than 2, the p-value for Wilks' Lambda is
deterimined and post-hoc test is reported too. Three multiple
comparison procedures, Dunnett, Tukey, and sequential pairwise
comparison, are implemented. The program 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 two visualization output: a
p-value plot of gene sets (GSA plot) and a GST-plot of the
empirical distribution function of the ranked test statistics
of a given gene set.
| Version: |
1.2 |
| Depends: |
R (≥ 2.13.2), MASS, corpcor (≥ 1.6.0), multcomp (≥ 1.2-7) |
| Published: |
2012-10-11 |
| Author: |
Chih-Yi Chien, Chen-An Tsai, Ching-Wei Chang, and James J. Chen |
| Maintainer: |
Chih-Yi Chien <chihyi.chien at fda.hhs.gov> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
MAVTgsa results |
Downloads: