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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Bibliografiska uppgifter
I publikationen:NPJ Syst Biol Appl
Huvudupphovsmän: Koh, Hiromi W. L., Fermin, Damian, Vogel, Christine, Choi, Kwok Pui, Ewing, Rob M., Choi, Hyungwon
Materialtyp: Artigo
Språk:Inglês
Publicerad: Nature Publishing Group UK 2019
Ämnen:
Technology Feature
Länkar: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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