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Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data

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sword-2021-09-02T18:27:10.original.xml (130 B)
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Author(s)
Kedaigle, AJ
•
Fraenkel, E
Date Issued
January 1, 2018
Journal
Methods Mol Biol
Publisher
Springer New York
Version
Author's final manuscript
Abstract
© 2018, Springer Science+Business Media LLC. With the extraordinary rise in available biological data, biologists and clinicians need unbiased tools for data integration in order to reach accurate, succinct conclusions. Network biology provides one such method for high-throughput data integration, but comes with its own set of algorithmic problems and needed expertise. We provide a step-by-step guide for using Omics Integrator, a software package designed for the integration of transcriptomic, epigenomic, and proteomic data. Omics Integrator can be found at http://fraenkel.mit.edu/omicsintegrator.
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DOI of Published Version
10.1007/978-1-4939-7493-1_2
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