[Bioc-devel] Announcing the new R pakage GSAR

[Rahmatallah, Yasir]

Hello,

I would like to announce the availability of the new R package 'GSAR'  released recently with Bioconductor 3.0. The package offers a suite of tests to perform self-contained gene set analysis (GSA). We would highly appreciate your feedback and suggestions to help us improve the package.

Short Description:
Package GSAR provides a set of statistical methods for self-contained gene set analysis. The methods work for gene expressions obtained from microarrays or RNA-Seq count data (given proper normalization is used). The package consists of two-sample multivariate nonparametric statistical methods to test a null hypothesis against specific alternative hypotheses, such as differences in shift, scale or correlation structure between two conditions. Multivariate generalizations of the Kolmogorov-Smirnov and Wald-Wolfowitz runs tests using the minimum spanning tree are available. It also offers a graphical visualization scheme for correlation networks to examine the change in the net correlation structure of a gene set between two conditions.

Best Regards,

Yasir Rahmatallah, Ph.D.
Postdoctoral Fellow
Division of Biomedical Informatics
University of Arkansas for Medical Sciences (UAMS)
4301 West Markham, Slot #782
Little Rock, AR 72205
Office: 501-603-1674
Fax: 501-526-5964
Email: yrahmatallah at uams.edu

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