Liu Y Manesso E Gunawan R 2015 UNLABELLED Here, we present REDEMPTION ( RE: duced D: imension E: nsemble M: odeling and P: arameter estima TION: ), 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. application/pdf https://sonar.ch/global/documents/40893 eng info:eu-repo/semantics/altIdentifier/doi/10.1093/bioinformatics/btv365 info:eu-repo/semantics/altIdentifier/pmid/26076722 info:eu-repo/semantics/openAccess Bioinformatics (Oxford, England). - 2015 Algorithms Models, Biological Software REDEMPTION: reduced dimension ensemble modeling and parameter estimation. http://purl.org/coar/resource_type/c_6501