NDLI: Detecting protein complexes using connectivity among nodes in a PPI Network

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Detecting protein complexes using connectivity among nodes in a PPI Network

Content Provider	Springer Nature Link
Author	Sharma, Pooja Ahmed, Hasin A Roy, Swarup Bhattacharyya, Dhruba K
Copyright Year	2015
Abstract	In this paper, we introduce a connectivity-based protein complex finding method to find dense and sparse complexes along with core and periphery proteins. We named this method CNCM (Connectivity-based Network Clustering Method) as it uses clustering coefficient and the connectivity among nodes to find complexes. This method also ensures detection of protein complexes which are overlapping in nature. CNCM has been validated using both gold standard benchmark datasets and hand-curated PPI networks from publicly available sources. We evaluate and compare the performance of CNCM with several protein complex finding methods and found our results highly satisfactory.
Starting Page	1
Ending Page	17
Page Count	17
File Format	PDF
ISSN	21926662
Journal	Network Modeling Analysis in Health Informatics and Bioinformatics
Volume Number	4
Issue Number	1
e-ISSN	21926670
Language	English
Publisher	Springer Vienna
Publisher Date	2015-11-30
Publisher Place	Vienna
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Computational Biology/Bioinformatics Protein complex Complex Networks Connectivity Health Informatics Clustering coefficient Bioinformatics Protein–protein interaction Core
Content Type	Text
Resource Type	Article
Subject	Urology

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