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REDEMPTION: reduced dimension ensemble modeling and parameter estimation
Summary: Here, we present REDEMPTION (Reduced Dimension Ensemble Modeling and Parameter estimation), a toolbox for parameter estimation and ensemble modeling of ordinary differential equations (ODEs) using time-series data. For models with more reactions than measured species, a common scenario in b...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4595898/ https://www.ncbi.nlm.nih.gov/pubmed/26076722 http://dx.doi.org/10.1093/bioinformatics/btv365 |
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author | Liu, Yang Manesso, Erica Gunawan, Rudiyanto |
author_facet | Liu, Yang Manesso, Erica Gunawan, Rudiyanto |
author_sort | Liu, Yang |
collection | PubMed |
description | Summary: Here, we present REDEMPTION (Reduced Dimension Ensemble Modeling and Parameter estimation), a toolbox for parameter estimation and ensemble modeling of ordinary differential equations (ODEs) using time-series data. For models with more reactions than measured species, a common scenario in biological modeling, the parameter estimation is formulated as a nested optimization problem based on incremental parameter estimation strategy. REDEMPTION also includes a tool for the identification of an ensemble of parameter combinations that provide satisfactory goodness-of-fit to the data. The functionalities of REDEMPTION are accessible through a MATLAB user interface (UI), as well as through programming script. For computational speed-up, REDEMPTION provides a numerical parallelization option using MATLAB Parallel Computing toolbox. Availability and implementation: REDEMPTION can be downloaded from http://www.cabsel.ethz.ch/tools/redemption. Contact: rudi.gunawan@chem.ethz.ch |
format | Online Article Text |
id | pubmed-4595898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-45958982015-10-09 REDEMPTION: reduced dimension ensemble modeling and parameter estimation Liu, Yang Manesso, Erica Gunawan, Rudiyanto Bioinformatics Applications Notes Summary: Here, we present REDEMPTION (Reduced Dimension Ensemble Modeling and Parameter estimation), a toolbox for parameter estimation and ensemble modeling of ordinary differential equations (ODEs) using time-series data. For models with more reactions than measured species, a common scenario in biological modeling, the parameter estimation is formulated as a nested optimization problem based on incremental parameter estimation strategy. REDEMPTION also includes a tool for the identification of an ensemble of parameter combinations that provide satisfactory goodness-of-fit to the data. The functionalities of REDEMPTION are accessible through a MATLAB user interface (UI), as well as through programming script. For computational speed-up, REDEMPTION provides a numerical parallelization option using MATLAB Parallel Computing toolbox. Availability and implementation: REDEMPTION can be downloaded from http://www.cabsel.ethz.ch/tools/redemption. Contact: rudi.gunawan@chem.ethz.ch Oxford University Press 2015-10-15 2015-06-14 /pmc/articles/PMC4595898/ /pubmed/26076722 http://dx.doi.org/10.1093/bioinformatics/btv365 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Liu, Yang Manesso, Erica Gunawan, Rudiyanto REDEMPTION: reduced dimension ensemble modeling and parameter estimation |
title | REDEMPTION: reduced dimension ensemble modeling and parameter estimation |
title_full | REDEMPTION: reduced dimension ensemble modeling and parameter estimation |
title_fullStr | REDEMPTION: reduced dimension ensemble modeling and parameter estimation |
title_full_unstemmed | REDEMPTION: reduced dimension ensemble modeling and parameter estimation |
title_short | REDEMPTION: reduced dimension ensemble modeling and parameter estimation |
title_sort | redemption: reduced dimension ensemble modeling and parameter estimation |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4595898/ https://www.ncbi.nlm.nih.gov/pubmed/26076722 http://dx.doi.org/10.1093/bioinformatics/btv365 |
work_keys_str_mv | AT liuyang redemptionreduceddimensionensemblemodelingandparameterestimation AT manessoerica redemptionreduceddimensionensemblemodelingandparameterestimation AT gunawanrudiyanto redemptionreduceddimensionensemblemodelingandparameterestimation |