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List:       bioc-devel
Subject:    [Bioc-devel] Announcing the new R pakage GSAR
From:       "Rahmatallah, Yasir" <YRahmatallah () uams ! edu>
Date:       2014-10-27 19:48:59
Message-ID: 879B5801DDCFB3469A69F79473B3E275EDDDF5A2 () Mail4Node2 ! ad ! uams ! edu
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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@uams.edu

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