CycFlowDec: A Python module for decomposing flow networks using simple cycles

New algorithms for determining the expected flow through simple cycles in a closed network are presented. Current network analysis software do not implement algorithms for expected cyclic flow decomposition, despite its potential value. Decomposing networks into expected cycle flows provides a quant...

Descripción completa

Detalles Bibliográficos
Autores principales: Bernardi, Austen, Swanson, Jessica M.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545271/
https://www.ncbi.nlm.nih.gov/pubmed/34703873
http://dx.doi.org/10.1016/j.softx.2021.100676
_version_ 1784589981371596800
author Bernardi, Austen
Swanson, Jessica M.J.
author_facet Bernardi, Austen
Swanson, Jessica M.J.
author_sort Bernardi, Austen
collection PubMed
description New algorithms for determining the expected flow through simple cycles in a closed network are presented. Current network analysis software do not implement algorithms for expected cyclic flow decomposition, despite its potential value. Decomposing networks into expected cycle flows provides a quantitative characterization of network cycles that can be further analyzed for sensitivity and correlative behavior. An efficient, general algorithm has been coded into CycFlowDec, an open source Python module available at https://github.com/austenb28/CycFlowDec.
format Online
Article
Text
id pubmed-8545271
institution National Center for Biotechnology Information
language English
publishDate 2021
record_format MEDLINE/PubMed
spelling pubmed-85452712021-10-25 CycFlowDec: A Python module for decomposing flow networks using simple cycles Bernardi, Austen Swanson, Jessica M.J. SoftwareX Article New algorithms for determining the expected flow through simple cycles in a closed network are presented. Current network analysis software do not implement algorithms for expected cyclic flow decomposition, despite its potential value. Decomposing networks into expected cycle flows provides a quantitative characterization of network cycles that can be further analyzed for sensitivity and correlative behavior. An efficient, general algorithm has been coded into CycFlowDec, an open source Python module available at https://github.com/austenb28/CycFlowDec. 2021-02-24 2021-06 /pmc/articles/PMC8545271/ /pubmed/34703873 http://dx.doi.org/10.1016/j.softx.2021.100676 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Bernardi, Austen
Swanson, Jessica M.J.
CycFlowDec: A Python module for decomposing flow networks using simple cycles
title CycFlowDec: A Python module for decomposing flow networks using simple cycles
title_full CycFlowDec: A Python module for decomposing flow networks using simple cycles
title_fullStr CycFlowDec: A Python module for decomposing flow networks using simple cycles
title_full_unstemmed CycFlowDec: A Python module for decomposing flow networks using simple cycles
title_short CycFlowDec: A Python module for decomposing flow networks using simple cycles
title_sort cycflowdec: a python module for decomposing flow networks using simple cycles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545271/
https://www.ncbi.nlm.nih.gov/pubmed/34703873
http://dx.doi.org/10.1016/j.softx.2021.100676
work_keys_str_mv AT bernardiausten cycflowdecapythonmodulefordecomposingflownetworksusingsimplecycles
AT swansonjessicamj cycflowdecapythonmodulefordecomposingflownetworksusingsimplecycles

Ejemplares similares