HKC: An Algorithm to Predict Protein Complexes in Protein-Protein Interaction Networks.
With the availability of more and more genome-scale protein-protein interaction (PPI) networks, research interests gradually shift to Systematic Analysis on these large data sets. A key topic is to predict protein complexes in PPI networks by identifying clusters that are densely connected within th...
| Publicado en: | Journal of Biomedicine & Biotechnology pp. 1 - 15 |
|---|---|
| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
2011
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109652665&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109652665 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11107243 137K jtl: Journal of Biomedicine & Biotechnology issn: 11107243 maglogo: N pubinfo: dt: 2011 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 109652665 2011452835 NLM22174556 PMC3228514 109652665 ppf: 1 ppct: 14 formats: fmt: @attributes: type: P tig: atl: HKC: An Algorithm to Predict Protein Complexes in Protein-Protein Interaction Networks. aug: au: Xiaomin Wang Zhengzhi Wang Jun Ye affil: Institute of Mechanical Engineering and Automation, National University of Defense Technology, Changsha 410073, China sug: ab: With the availability of more and more genome-scale protein-protein interaction (PPI) networks, research interests gradually shift to Systematic Analysis on these large data sets. A key topic is to predict protein complexes in PPI networks by identifying clusters that are densely connected within themselves but sparsely connected with the rest of the network. In this paper, we present a new topology-based algorithm, HKC, to detect protein complexes in genome-scale PPI networks. HKC mainly uses the concepts of highest k-core and cohesion to predict protein complexes by identifying overlapping clusters. The experiments on two data sets and two benchmarks show that our algorithm has relatively high F-measure and exhibits better performance compared with some other methods. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|