PLMaddon is a General Public License (GPL) software module designed to expand the current version of the SBToolbox (a Matlab toolbox for systems biology; www.sbtoolbox.org) with a set of functions for the analysis of power-law models, a specific class of kinetic models, set in ordinary differential equations (ODE) and in which the kinetic orders can have positive/negative non-integer values. The module includes functions to generate power-law Taylor expansions of other ODE models (e.g. Michaelis-Menten type models), as well as algorithms to estimate steady-states. The robustness and sensitivity of the models can also be analysed and visualized by computing the power-law's logarithmic gains and sensitivities.
%0 Journal Article
%1 vera_plmaddon:power-law_2007
%A Vera, Julio
%A Sun, Cheng
%A Oertel, Yvonne
%A Wolkenhauer, Olaf
%D 2007
%J Bioinformatics (Oxford, England)
%K Algorithms, Biological, Computer Languages, Models, Programming Rostock SBI Simulation, Software, Systems biology
%N 19
%P 2638--2640
%R 10.1093/bioinformatics/btm245
%T PLMaddon: a power-law module for the Matlab SBToolbox
%U http://www.ncbi.nlm.nih.gov/pubmed/17495997
%V 23
%X PLMaddon is a General Public License (GPL) software module designed to expand the current version of the SBToolbox (a Matlab toolbox for systems biology; www.sbtoolbox.org) with a set of functions for the analysis of power-law models, a specific class of kinetic models, set in ordinary differential equations (ODE) and in which the kinetic orders can have positive/negative non-integer values. The module includes functions to generate power-law Taylor expansions of other ODE models (e.g. Michaelis-Menten type models), as well as algorithms to estimate steady-states. The robustness and sensitivity of the models can also be analysed and visualized by computing the power-law's logarithmic gains and sensitivities.
@article{vera_plmaddon:power-law_2007,
abstract = {{PLMaddon} is a General Public License {(GPL)} software module designed to expand the current version of the {SBToolbox} (a Matlab toolbox for systems biology; www.sbtoolbox.org) with a set of functions for the analysis of power-law models, a specific class of kinetic models, set in ordinary differential equations {(ODE)} and in which the kinetic orders can have positive/negative non-integer values. The module includes functions to generate power-law Taylor expansions of other {ODE} models (e.g. {Michaelis-Menten} type models), as well as algorithms to estimate steady-states. The robustness and sensitivity of the models can also be analysed and visualized by computing the power-law's logarithmic gains and sensitivities.},
added-at = {2010-09-17T16:55:15.000+0200},
author = {Vera, Julio and Sun, Cheng and Oertel, Yvonne and Wolkenhauer, Olaf},
biburl = {https://www.bibsonomy.org/bibtex/27c62d3245796ce5ba080930a5e615163/ra1602},
doi = {10.1093/bioinformatics/btm245},
interhash = {47cb36fbb2a7ad656f679447d3c4aed1},
intrahash = {7c62d3245796ce5ba080930a5e615163},
issn = {1367-4811},
journal = {Bioinformatics {(Oxford,} England)},
keywords = {Algorithms, Biological, Computer Languages, Models, Programming Rostock SBI Simulation, Software, Systems biology},
month = oct,
note = {{PMID:} 17495997},
number = 19,
pages = {2638--2640},
shorttitle = {{PLMaddon}},
timestamp = {2010-09-17T16:55:23.000+0200},
title = {{PLMaddon:} a power-law module for the Matlab {SBToolbox}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/17495997},
volume = 23,
year = 2007
}