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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616462/ https://www.ncbi.nlm.nih.gov/pubmed/31312515 http://dx.doi.org/10.1038/s41540-019-0099-y |