Mergeomics is a tool to recognize pathological pathways, regulatory pathways, and key regulators in omics data. The Mergeomics algorithm consists of two modules: 1. Marker set enrichment analysis (MSEA) and 2. Weighted Key Driver Analysis (wKDA).
Metagenomics; Data integration and warehousing; Pathology
Arneson D, Bhattacharya A, Shu L, Makinen VP, Yang X "Mergeomics: a web server for identifying pathological pathways, networks, and key regulators via multidimensional data integration." BMC Genomics. 2016 Sep 9;17(1):722. https://doi.org/10.1186/s12864-016-3057-8
PMID: 27612452
PMCID: PMC5016927
Shu L, Zhao Y, Kurt Z, Byars SG, Tukiainen T, Kettunen J, Orozco LD, Pellegrini M, Lusis AJ, Ripatti S, Zhang B, Inouye M, Mäkinen VP, Yang X "Mergeomics: multidimensional data integration to identify pathogenic perturbations to biological systems." BMC Genomics. 2016 Nov 4;17(1):874. https://doi.org/10.1186/s12864-016-3198-9
PMID: 27814671
PMCID: PMC5097440
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