Journal of Statistical Software · 2010 · 507 citations · 6 references
PharmacyPharmacologyToxicologyDose-response ModelingDrug DiscoveryPharmacokinetic-pharmacodynamic ModelingArea Under The CurveDose-response AssessmentDose-response RelationshipsBootstrap Confidence IntervalsDose-response Curve AnalysisDose-response Curve FittingDose-response Curve ModelingGrowth Curve ModelsGrowth CurvesGrowth Model Parameter EstimationSpline-based Dose-response Modeling
The <b>grofit</b> package was developed to fit many growth curves obtained under different conditions in order to derive a conclusive dose-response curve, for instance for a compound that potentially affects growth. <b>grofit</b> fits data to different parametric models and in addition provides a model free spline method to circumvent systematic errors that might occur within application of parametric methods. This amendment increases the reliability of the characteristic parameters (e.g.,lag phase, maximal growth rate, stationary phase) derived from a single growth curve. By relating obtained parameters to the respective condition (e.g.,concentration of a compound) a dose response curve can be derived that enables the calculation of descriptive pharma-/toxicological values like half maximum effective concentration (EC50). Bootstrap and cross-validation techniques are used for estimating confidence intervals of all derived parameters.
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Modeling of the Bacterial Growth Curve
M.H. Zwietering, I. Jongenburger, F.M. Rombouts et al. · Applied and Environmental Microbiology · 1990 · 4.2K citations · Full text
Predicting Cellular Growth from Gene Expression Signatures
Edoardo M. Airoldi, Curtis Huttenhower, David Gresham et al. · PLoS Computational Biology · 2009 · 117 citations · Full text