| Name : R-MAVTgsa
| |
| Version : 1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:34:14
|
| Group : Development/Libraries/Other
| Source RPM : R-MAVTgsa-1.3-lp153.2.13.src.rpm
|
| Size : 0.07 MB
| |
| Packager : (none)
| |
| Summary : Three methods to identify differentially expressed gene sets, ordinary least square test, Multivariate Analysis Of Variance test with n contrasts and Random forest.
|
Description :
This package is a gene set analysis function for one-sided test (OLS),
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 determined 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. A Random
Forests-based procedure is to identify gene sets that can accurately
predict samples from different experimental conditions or are
associated with the continuous phenotypes.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
