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Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder
Disease modules in molecular interaction maps have been useful for characterizing diseases. Yet biological networks, that commonly define such modules are incomplete and biased toward some well-studied disease genes. Here we ask whether disease-relevant modules of genes can be discovered without pri...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016183/ https://www.ncbi.nlm.nih.gov/pubmed/32051402 http://dx.doi.org/10.1038/s41467-020-14666-6 |