Bayesian Experimental Design for Systems Biology.

Implementation of a Bayesian active learning strategy to carry out sequential experimental design in the context of biochemical network kinetic parameter estimation. This package gathers functions and pre-computed data sets to reproduce results presented in Pauwels E. et. al published in BMC Systems Biology, 2014. Scripts are given to compute all results from scratch or to draw pictures based on pre-computed data sets.


Reference manual

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1.0 by Edouard Pauwels, 7 years ago

Browse source code at

Authors: Edouard Pauwels

Documentation:   PDF Manual  

GPL-3 license

Depends on deSolve, ggplot2

See at CRAN