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For prognostic and diagnostic purposes, it is crucial to be able to separate the group of “driver” genes and their first-degree neighbours, (i.e. “core module”) from the general “disease module”. To facilitate this task, we developed a novel computational framework COMBINER: COre Module Biomarker Identification with Network ExploRation. We applied COMBINER to three benchmark breast cancer datasets...
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