Model-based global sensitivity analysis as applied to identification of anti-cancer drug targets and biomarkers of drug resistance in the ErbB2/3 network

Model-based global sensitivity analysis as applied to identification of anti-cancer drug targets and biomarkers of drug resistance in the ErbB2/3 network

High levels of variability in cancer-related cellular signalling networks and a lack of parameter identifiability in large-scale network models hamper translation of the results of modelling studies into the process of anti-cancer drug development. Recently global sensitivity analysis (GSA) has been...

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Bibliographic Details
Main Authors: Lebedeva, Galina, Sorokin, Anatoly, Faratian, Dana, Mullen, Peter, Goltsov, Alexey, Langdon, Simon P., Harrison, David J., Goryanin, Igor
Format: Online
Language:English
Published: Elsevier Science B.V 2012
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398788/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398788/

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