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Generation of intervention strategy for a Genetic Regulatory Network represented by a family of Markov Chains.

, and . EMBC, page 7610-7613. IEEE, (2011)

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Quantifying the inference power of a drug screen for predictive analysis., , , and . GENSiPS, page 49-52. IEEE, (2013)Generation of intervention strategy for a Genetic Regulatory Network represented by a family of Markov Chains., and . EMBC, page 7610-7613. IEEE, (2011)Inference of dynamic biological networks based on responses to drug perturbations., , , and . EURASIP J. Bioinform. Syst. Biol., (2014)Combination therapy design for targeted therapeutics from a drug-protein interaction perspective., , , , and . GENSiPS, page 58-61. IEEE, (2012)A Kinase Inhibition Map Approach for Tumor Sensitivity Prediction and Combination Therapy Design for Targeted Drugs., and . Pacific Symposium on Biocomputing, page 351-362. World Scientific Publishing, (2012)Inferring causal molecular networks: empirical assessment through a community-based effort, , , , , , , , , and 163 other author(s). Nature Methods, 13 (4): 310--318 (Feb 22, 2016)Combination therapy design for maximizing sensitivity and minimizing toxicity., , , and . BCB, page 530-531. ACM, (2016)Analyzing pathway design from drug perturbation experiments., , , and . SSP, page 552-555. IEEE, (2012)Computational approaches to drug sensitivity prediction and personalized cancer therapy.. Texas Tech University, Lubbock, USA, (2018)base-search.net (fttexastechuniv:oai:ttu-ir.tdl.org:2346/73771).Combination therapy design for maximizing sensitivity and minimizing toxicity., , , and . BMC Bioinform., 18 (S-4): 17-29 (2017)