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...
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| Published in | SoftwareX Vol. 14; p. 100676 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.06.2021
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2352-7110 2352-7110 |
| DOI | 10.1016/j.softx.2021.100676 |
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| Abstract | 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. |
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| AbstractList | 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. 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.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. |
| ArticleNumber | 100676 |
| Author | Swanson, Jessica M.J. Bernardi, Austen |
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| Cites_doi | 10.1016/j.bpj.2016.02.014 10.1140/epjst/e2015-02417-8 10.1016/j.physa.2018.02.059 10.1063/1.4994177 10.1073/pnas.0914180107 10.1209/0295-5075/108/68008 10.7151/dmgt.1235 10.1021/jacs.6b06683 10.1162/neco_a_00990 10.1177/0894439317721985 10.1038/s41562-018-0450-0 10.1007/BF00531744 10.1214/15-AAP1152 10.1016/j.physa.2017.02.040 10.1002/mcf2.10137 10.1073/pnas.1603351113 10.1186/1471-2105-9-559 10.1093/bioinformatics/btl485 10.1142/S0219025712500166 10.1186/1479-7364-4-5-353 10.18637/jss.v024.i01 10.1021/jacs.7b11463 |
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| Keywords | Cyclic flow decomposition Kinetic modeling Network analysis CycFlowDec Kinetic networks |
| Language | English |
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| SubjectTerms | CycFlowDec Cyclic flow decomposition Kinetic modeling Kinetic networks Network analysis |
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| Title | CycFlowDec: A Python module for decomposing flow networks using simple cycles |
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