Employing Power Graph Analysis to Facilitate Modeling Molecular Interaction Networks

Employing Power Graph Analysis to Facilitate Modeling Molecular Interaction Networks

Mathematical modeling is used to explore and understand complex systems ranging from weather patterns to social networks to gene-expression regulatory mechanisms. There is an upper limit to the amount of details that can be reflected in a model imposed by finite computational resources. Thus, there...

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Bibliographic Details
Main Authors: Momchil Nenov, Svetoslav Nikolov
Format: Article
Language:English
Published: Bulgarian Academy of Sciences 2015-04-01
Series:International Journal Bioautomation
Subjects:
Power graph analysis
Molecular interaction networks
Dynamic system
Online Access:http://www.biomed.bas.bg/bioautomation/2015/vol_19.1/files/19.1_04.pdf
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spelling doaj-25be2ef69a5e4fe7ac56e0917525fe092020-11-25T02:51:48ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212015-04-011913742Employing Power Graph Analysis to Facilitate Modeling Molecular Interaction NetworksMomchil Nenov0Svetoslav NikolovDepartment of Biomechanics, Institute of Mechanics  Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 4, 1113 Sofia, BulgariaMathematical modeling is used to explore and understand complex systems ranging from weather patterns to social networks to gene-expression regulatory mechanisms. There is an upper limit to the amount of details that can be reflected in a model imposed by finite computational resources. Thus, there are methods to reduce the complexity of the modeled system to its most significant parameters. We discuss the suitability of clustering techniques, in particular Power Graph Analysis as an intermediate step of modeling.http://www.biomed.bas.bg/bioautomation/2015/vol_19.1/files/19.1_04.pdfPower graph analysisMolecular interaction networksDynamic system
collection DOAJ
language English
format Article
sources DOAJ
author Momchil Nenov
Svetoslav Nikolov
spellingShingle Momchil Nenov
Svetoslav Nikolov
Employing Power Graph Analysis to Facilitate Modeling Molecular Interaction Networks
International Journal Bioautomation
Power graph analysis
Molecular interaction networks
Dynamic system
author_facet Momchil Nenov
Svetoslav Nikolov
author_sort Momchil Nenov
title Employing Power Graph Analysis to Facilitate Modeling Molecular Interaction Networks
title_short Employing Power Graph Analysis to Facilitate Modeling Molecular Interaction Networks
title_full Employing Power Graph Analysis to Facilitate Modeling Molecular Interaction Networks
title_fullStr Employing Power Graph Analysis to Facilitate Modeling Molecular Interaction Networks
title_full_unstemmed Employing Power Graph Analysis to Facilitate Modeling Molecular Interaction Networks
title_sort employing power graph analysis to facilitate modeling molecular interaction networks
publisher Bulgarian Academy of Sciences
series International Journal Bioautomation
issn 1314-1902
1314-2321
publishDate 2015-04-01
description Mathematical modeling is used to explore and understand complex systems ranging from weather patterns to social networks to gene-expression regulatory mechanisms. There is an upper limit to the amount of details that can be reflected in a model imposed by finite computational resources. Thus, there are methods to reduce the complexity of the modeled system to its most significant parameters. We discuss the suitability of clustering techniques, in particular Power Graph Analysis as an intermediate step of modeling.
topic Power graph analysis
Molecular interaction networks
Dynamic system
url http://www.biomed.bas.bg/bioautomation/2015/vol_19.1/files/19.1_04.pdf
work_keys_str_mv AT momchilnenov employingpowergraphanalysistofacilitatemodelingmolecularinteractionnetworks
AT svetoslavnikolov employingpowergraphanalysistofacilitatemodelingmolecularinteractionnetworks
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