Article

Deriving Disease Modules from the Compressed Transcriptional Space Embedded in a Deep Auto-encoder

2019-06-24

Abstract excerpt

Disease modules in molecular interaction maps have been useful for characterizing diseases. Yet biological networks, commonly used to 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 assuming the prior knowledge of a biological network. To this end we train a deep auto-encoder on a large transcripti...

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Literature Corpus work: 76c21845-cdeb-5d06-a2d7-c0a29838950a
DOI: 10.1101/680983

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