Newmi1988/seeds: Estimate Hidden Inputs using the Dynamic Elastic Net

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>.

Getting started

Package details

MaintainerTobias Newmiwaka <tobias.newmiwaka@gmail.com>
LicenseMIT + file LICENSE
Version0.9.1
URL https://github.com/Newmi1988/seeds
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Newmi1988/seeds")
Newmi1988/seeds documentation built on Aug. 7, 2021, 8:22 p.m.