HIGHLIGHTS
- who: Shrabanti Chowdhury from the Department of Genetics Sinai, New York, NY, USA University of California, Davis, CA have published the Article: DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer, in the Journal: (JOURNAL)
- what: The authors propose a new tool DAGBagM to learn DAGs with both continuous and binary nodes. Through extensive simulation experiments the authors demonstrate that DAGBagM has superior performance compared to alternative strategies for modeling mixed types of nodes. The authors aim to screen for proteins having causal . . .
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