GSAA - gene set association analysis

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The GSAA platform contains four functionally independent modules
GSAA: integrative gene set association analysis of microarray gene expression data and SNP data
GSAA-SNP: gene set association analysis of SNP data
GSAASeqSP: gene set association analysis for RNA-Seq data with sample permutation
GSAASeqGP: gene set association analysis for RNA-Seq data with gene permutation

Tutorial_GSAA will guide you through the process of running an example analysis in GSAA based on simulated gene expression and SNP datasets.

Tutorial _GSAA-SNP will guide you through the process of running an example analysis in GSAA-SNP based on a simulated SNP dataset and a gene list.

User Guide_GSAA provides a detailed description of how to run GSAA, prepare input data, run analyses, and interpret results.

User Guide_GSAA-SNP provides a detailed description of how to run GSAA-SNP, prepare input data, run analyses, and interpret results.

User Guide_GSAASeqSP provides a detailed description of how to run GSAASeqSP, prepare input data, run analyses, and interpret results.

User Guide_GSAASeqGP provides a detailed description of how to run GSAASeqGP, prepare input data, run analyses, and interpret results.

Furey Lab | Mukherjee Lab | Department of Genetics | The University of North Carolina at Chapel Hill
Last updated: August 15, 2013
Copyright © 2012 UNC-CH