An advanced hierarchical algorithm for protein complex prediction

Moschopoulos, C; Theofilatos, K; Fotakis, D; Likothanasis, S; Kossida, S

dc.contributor.author	Moschopoulos, C	en
dc.contributor.author	Theofilatos, K	en
dc.contributor.author	Fotakis, D	en
dc.contributor.author	Likothanasis, S	en
dc.contributor.author	Kossida, S	en
dc.date.accessioned	2014-03-01T02:46:40Z
dc.date.available	2014-03-01T02:46:40Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32775
dc.subject	Experimental Method	en
dc.subject	Hierarchical Clustering	en
dc.subject	large dataset	en
dc.subject	Protein Complex	en
dc.subject	Protein Interaction	en
dc.subject	Protein Interaction Network	en
dc.subject	Protein Protein Interaction	en
dc.subject	High Throughput	en
dc.subject.other	Automated methods	en
dc.subject.other	Data sets	en
dc.subject.other	Experimental methods	en
dc.subject.other	Hier-archical clustering	en
dc.subject.other	Hierarchical algorithm	en
dc.subject.other	Hierarchical clustering algorithms	en
dc.subject.other	High throughput	en
dc.subject.other	Information concerning	en
dc.subject.other	Large datasets	en
dc.subject.other	Protein complexes	en
dc.subject.other	Protein interaction	en
dc.subject.other	Protein interaction networks	en
dc.subject.other	Protein-protein interactions	en
dc.subject.other	Complexation	en
dc.subject.other	Forecasting	en
dc.subject.other	Information technology	en
dc.subject.other	Proteins	en
dc.subject.other	Clustering algorithms	en
dc.title	An advanced hierarchical algorithm for protein complex prediction	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ITAB.2010.5687616	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ITAB.2010.5687616	en
heal.identifier.secondary	5687616	en
heal.publicationDate	2010	en
heal.abstract	High throughput experimental methods which detect protein-protein interactions have generated large datasets offering a first estimation and representation of an organism's protein interaction network. However, there is still lack of information concerning protein complexes, although many automated methods have been applied to this problem. In this paper, a new hierarchical clustering algorithm, called Advanced Hierarchical Clustering (AHC) algorithm, is proposed which detects protein complexes with high predictive ratio. The main advantage of our algorithm is the accuracy of prediction of the protein complexes from the initial protein interaction graphs. We present experimental results using 7 experimental datasets and compare them with those derived from other existing algorithms (such as Mcode, HCS, RNSC and SideS), to demonstrate the efficiency of the AHC regarding successful prediction ratio of protein complexes and accuracy. © 2010 IEEE.	en
heal.journalName	Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB	en
dc.identifier.doi	10.1109/ITAB.2010.5687616	en