| A Web Server for Multidimensional Data Integration

Marker Dependency Filtering

MDF prepares input files for MSEA by correcting for dependency between omics markers (e.g. linkage disequilibrium between SNPs in GWAS).

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Marker Set Enrichment Analysis

MSEA detects pathways and networks affected by multidimensional molecular markers (e.g., SNPs, differential methylation sites) associated with a pathological condition. The pipeline can be concluded after MSEA is run, or the results can be used directly in wKDA.

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Weighted Key Driver Analysis

wKDA identifies essential regulators of disease-associated pathways and networks and produces the corresponding interactive network visualization. wKDA can be run as a follow-up to MSEA or Meta MSEA; or it can be run as an independent module.

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Mergeomics is being actively developed by the Yang Lab in the Department of Integrative Biology and Physiology at UCLA. The Yang Lab at UCLA uses integrative genomics and systems biology approaches to better understand the molecular mechanisms of complex disease.


Arneson, D., Bhattacharya, A., Shu, L., Mäkinen, V., & Yang, X. (2016). Mergeomics: A web server for identifying pathological pathways, networks, and key regulators via multidimensional data integration. BMC Genomics, 17(1). doi:10.1186/s12864-016-3057-8

Get in touch

Please contact Jessica Ding for any comments, suggestions, or support requests at: jading[at]ucla[dot]edu