GSAA, GSAA-SNP, GSAASeqSP, and GSAASeqGP Algorithms
Gene Set Association Analysis (GSAA) is a Bioinformatics platform for integrative gene set association analysis of SNP data and microarray gene expression data. GSAA identifies pathways/gene sets significantly associated with a disease or a phenotype through integrating evidence from genome-wide patterns of genetic variation and gene expression variation of two phenotypes.
Gene Set Association Analysis-SNP (GSAA-SNP) is a Bioinformatics platform for gene set association analysis of SNP data. GSAA-SNP identifies pathways/gene sets significantly associated with a disease or a phenotype by analyzing genome-wide patterns of genetic variation of two phenotypes.
Gene Set Association Analysis for RNA-Seq (GSAASeqSP and GSAASeqGP) are toolsets for gene set association analysis of RNA-Seq count data. GSAASeqSP and GSAASeqGP identify pathways/gene sets significantly associated with a disease or a phenotype by analyzing genome-wide patterns of gene expression variation measured by RNA-Seq technology.
GSAA and GSAA-SNP are Java based desktop applications which implement algorithms described in
Qing Xiong, Nicola Ancona, Elizabeth R. Hauser, Sayan Mukherjee, Terrence S. Furey. Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets. Genome Research. 2012 Feb;22(2):386-97.
GSAASeqSP and GSAASeqGP are Java based desktop applications which implement methods described in
Qing Xiong, Sayan Mukherjee, Terrence S. Furey. GSAASeqSP: A toolset for gene set association analysis of RNA-Seq data. Scientific Reports. 2014 Sep; 4:6347