Article

DAGBagM: Learning directed acyclic graphs of mixed variables with an application to identify prognostic protein biomarkers in ovarian cancer

2020-10-27

Abstract excerpt

<h4>Motivation</h4> Directed gene/protein regulatory networks inferred by applying directed acyclic graph (DAG) models to proteogenomic data has been shown effective for detecting causal biomarkers of clinical outcomes. However, there remain unsolved challenges in DAG learning to jointly model clinical outcome variables, which often take binary values, and biomarker measurements, which usually are continuous vari...

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Literature Corpus work: f669a58a-8c9c-5ce7-adfa-0dd874db11ef
DOI: 10.1101/2020.10.26.349076

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