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Article

Data-driven representations using deep network-coherent methylation autoencoders to identify robust disease and risk factor signatures

2023-03-09

Abstract excerpt

<h4>ABSTRACT</h4> Data analysis in systems medicine often employs knowledge-driven approaches, which leverage prior biological insights to guide and inform the study of large omic sets. However, the current state of knowledge in biology is still partial and biased. For example, cancer-associated genes are overrepresented in protein interaction networks. As a result, these approaches may fail to capture novel or u...

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Literature Corpus work
90877cf0-783b-54e8-aec8-9a3d849be17e
DOI
10.1101/2023.03.07.531501
Open publication

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Data-driven representations using deep network-coherent methylation autoencoders to identify robust disease and risk factor signaturesDOI 10.1101/2023.03.07.531501
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