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MPAC: a computational framework for inferring pathway activities from multi-omic data

2024-06-17

Abstract excerpt

Fully capturing cellular state requires examining genomic, epigenomic, transcriptomic, proteomic, and other assays for a biological sample and comprehensive computational modeling to reason with the complex and sometimes conflicting measurements. Modeling these so-called multi-omic data is especially beneficial in disease analysis, where observations across omic data types may reveal unexpected patient groupings a...

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Literature Corpus work
cceca89d-9e17-5fd6-a7ff-a339f0d539ef
DOI
10.1101/2024.06.15.599113
Open publication

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MPAC: a computational framework for inferring pathway activities from multi-omic dataDOI 10.1101/2024.06.15.599113
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