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pauwels2014: 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.
Getting started
Browse package contents
Package details |
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| Author | Edouard Pauwels |
| Maintainer | Edouard Pauwels <pauwelsed@gmail.com> |
| License | GPL-3 |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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