Package: GSAR 1.41.0

Yasir Rahmatallah

GSAR: Gene Set Analysis in R

Gene set analysis using specific alternative hypotheses. Tests for differential expression, scale and net correlation structure.

Authors:Yasir Rahmatallah <[email protected]>, Galina Glazko <[email protected]>

# Install 'GSAR' in R:

install.packages('GSAR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On BioConductor:GSAR-1.41.0(bioc 3.21)GSAR-1.40.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 2 months agofrom:04f12467d8. Checks:OK: 5 NOTE: 2. Indexed: yes.

Last update: 2024-06-14
Started: 2014-05-27

Help page	Topics
Gene Set Analysis in R	GSAR-package GSAR
Multivariate Anderson-Darling Test of Means	ADtest
Aggregated F-Test of Variance Using Fisher's Probability Combining Method	AggrFtest
Multivariate Cramer-Von Mises of Means	CVMtest
Union of the First and Second Minimum Spanning Trees	findMST2
Union of the First and Second Minimum Spanning Trees for PPI Networks	findMST2.PPI
Gene Sets Net Correlations Analysis	GSNCAtest
High Directed Preorder Ranking of MST	HDP.ranking
Multivariate Kolmogorov-Smirnov Test of Means	KStest
Multivariate Mean Deviation Test of Means	MDtest
p53 Dataset of the NCI-60 Cell Lines	p53DataSet
Plot MST2 for a pathway in two conditions	plotMST2.pathway
Radial Ranking of MST	radial.ranking
Multivariate Radial Anderson-Darling Test of Variance	RADtest
Multivariate Radial Cramer-Von Mises Test of Variance	RCVMtest
Multivariate Radial Kolmogorov-Smirnov Test of Variance	RKStest
Multivariate Radial Mean Deviation Test of Variance	RMDtest
Test a List of Gene Sets Using a Specific Statistical Method	TestGeneSets
Multivariate Generalization of the Wald-Wolfowitz Runs Test	WWtest