Deriving disease modules from the compressed transcriptional space embedded in a deep autoencoder
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DOI: 10.1038/s41467-020-14666-6
Abstract: 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… read more here.
Keywords: modules compressed; disease; disease modules; deep autoencoder ... See more keywords