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  "Title": "Integrative Pathway Enrichment Analysis of Multivariate Omics\nData",
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  "Description": "Framework for analysing multiple omics datasets in the\ncontext of molecular pathways, biological processes and other\ntypes of gene sets. The package uses p-value merging to combine\ngene- or protein-level signals, followed by ranked\nhypergeometric tests to determine enriched pathways and\nprocesses. Genes can be integrated using directional\nconstraints that reflect how the input datasets are expected\ninteract with one another. This approach allows researchers to\ninterpret a series of omics datasets in the context of known\nbiology and gene function, and discover associations that are\nonly apparent when several datasets are combined. The recent\nversion of the package is part of the following publication:\nDirectional integration and pathway enrichment analysis for\nmulti-omics data. Slobodyanyuk M^, Bahcheli AT^, Klein ZP,\nBayati M, Strug LJ, Reimand J. Nature Communications (2024)\n<doi:10.1038/s41467-024-49986-4>.",
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      "page": "ActivePathways",
      "title": "ActivePathways",
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        "gmt",
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        "write.GMT"
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