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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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| Publicado no: | NPJ Syst Biol Appl |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | 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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