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Learning Cyclic Signaling Pathway Structures While Minimizing Data Requirements.

, , , , , , and . Pacific Symposium on Biocomputing, page 63-74. (2009)

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Systems biology and combination therapy in the quest for clinical efficacy, , , and . Nature Chemical Biology, 2 (9): 458--466 (Aug 18, 2006)Input-output behavior of ErbB signaling pathways as revealed by a mass action model trained against dynamic data., , , , , , and . Molecular systems biology, 5 (1): n/a (Jan 1, 2009)A Data-Driven Computational Model of the ErbB Receptor Signaling Network., , , , , , and . EMBC, page 53-54. IEEE, (2006)Learning Cyclic Signaling Pathway Structures While Minimizing Data Requirements., , , , , , and . Pacific Symposium on Biocomputing, page 63-74. (2009)Model-based design approaches in drug discovery: A parallel to traditional engineering approaches., , and . IBM J. Res. Dev., 50 (6): 645-651 (2006)HER2+ Cancer Cell Dependence on PI3K vs. MAPK Signaling Axes Is Determined by Expression of EGFR, ERBB3 and CDKN1B., , , , , , and . PLoS Comput. Biol., (2016)Applications of sensitivity analysis for drug discovery and development in the ErbB receptor network., , , , and . BMC Syst. Biol., 1 (S-1): P74 (2007)Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems., , , , , , , , , and 10 other author(s). Bioinform., 31 (21): 3558-3560 (2015)Ten simple rules to power drug discovery with data science., , , , , , , , , and 3 other author(s). PLoS Comput. Biol., (2020)