2013 LSP Publications


Metrics other than potency reveal systematic variation in responses to cancer drugs. Fallahi-Sichani, M., Honarnejad, S., Heiser, L.M., Gray, J.W., and Sorger, P.K. (2013). Nat. Chem. Biol. 9, 708–714  View PDF

Profiles of Basal and stimulated receptor signaling networks predict drug response in breast cancer lines. Niepel, M., Hafner, M., Pace, E.A., Chung, M., Chai, D.H., Zhou, L., Schoeberl, B., and Sorger, P.K. (2013). Sci. Signal. 6, ra84 View PDF

Cells surviving fractional killing by TRAIL exhibit transient but sustainable resistance and inflammatory phenotypes. Flusberg, D.A., Roux, J., Spencer, S.L., and Sorger, P.K. (2013). Mol. Biol. Cell 24, 2186–2200 View PDF

Modulating cell-to-cell variability and sensitivity to death ligands by co-drugging. Flusberg, D.A., and Sorger, P.K. (2013). Phys. Biol. 10, 035002 View PDF

Understanding, predicting and manipulating the genotypic evolution of antibiotic resistance. Palmer, A.C., and Kishony, R. (2013). Nat. Rev. Genet. 14, 243–248  View PDF

Programming biological models in Python using PySB. Lopez, C.F., Muhlich, J.L., Bachman, J.A., and Sorger, P.K. (2013). Mol. Syst. Biol. 9, 646  View PDF

Properties of cell death models calibrated and compared using Bayesian approaches. Eydgahi, H., Chen, W.W., Muhlich, J.L., Vitkup, D., Tsitsiklis, J.N., and Sorger, P.K. (2013). Mol. Syst. Biol. 9, 644  View PDF