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OptDis / Optimally Discriminative subnetwork markers
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A network-based classification algorithm using color coding technique to identify optimally discriminative subnetwork markers. Focusing on protein-protein interaction (PPI) networks, we apply our algorithm to drug response studies: we evaluate our algorithm using published cohorts of breast cancer patients treated with combination chemotherapy. We show that our OptDis method improves over previously published subnetwork methods and provides better and more stable performance compared with other subnetwork and single gene methods. We also show that our subnetwork method produces predictive markers that are more reproducible across independent cohorts and offer valuable insight into biological processes underlying response to therapy.
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