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Fig. 5 | BMC Bioinformatics

Fig. 5

From: DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer

Fig. 5

Ovarian cancer application: integrative DAG learning pipeline. Step 1: infer a directed network based on the time course cell line proteogenomics data from a treatment perturbation experiment. Note that, there could be bidirectional edges when we drop the time suffix in the resulting network from this step. Step 2: infer outcome-driven-DAGs with both continuous (e.g. proteins) and a binary variable (treatment response) based on CPTAC ovarian cancer proteogenomics data, while taking into account the directional information learned in Step 1

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BMC Bioinformatics

ISSN: 1471-2105

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