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iOmicsPASS: network-based integration of multiomics data for predictive subnetwork discovery

Computational tools for multiomics data integration have usually been designed for unsupervised detection of multiomics features explaining large phenotypic variations. To achieve this, some approaches extract latent signals in heterogeneous data sets from a joint statistical error model, while othe...

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Bibliografiske detaljer
Udgivet i:NPJ Syst Biol Appl
Main Authors: Koh, Hiromi W. L., Fermin, Damian, Vogel, Christine, Choi, Kwok Pui, Ewing, Rob M., Choi, Hyungwon
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2019
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6616462/
https://ncbi.nlm.nih.gov/pubmed/31312515
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41540-019-0099-y
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