Model

<p>Dataset is identical with the example for the bden algorithm from the vignette. It contains an object of
odeModel that describes the uvb network.</p>

datasets

Algorithms to calculate the hidden inputs of systems of differential equations.
These hidden inputs can be interpreted as a control that tries to minimize the
discrepancies between a given model and taken measurements. The idea is
also called the Dynamic Elastic Net, as proposed in the paper "Learning (from) the errors of a systems biology model"
(Engelhardt, Froelich, Kschischo 2016) <doi:10.1038/srep20772>.
To use the experimental SBML import function, the 'rsbml' package is required. For installation I refer to the official 'rsbml' page: <https://bioconductor.org/packages/release/bioc/html/rsbml.html>.

Tobias Newmiwaka

seeds

Estimate Hidden Inputs using the Dynamic Elastic Net

Benjamin Engelhardt

Model function

<p>An object of class <code>odeModel</code> of length 1.</p>

Model: Test dataset for demonstrating the bden algorithm.

Description

Usage

Arguments

Format