eprintid: 1553
rev_number: 8
eprint_status: archive
userid: 243
dir: disk0/00/00/15/53
datestamp: 2016-05-23 02:54:22
lastmod: 2016-05-23 02:55:33
status_changed: 2016-05-23 02:54:22
type: conference_item
metadata_visibility: show
creators_name: Tran, Ngoc Ha
creators_name: Hoang, Xuan Huan
creators_id: huanhx@vnu.edu.vn
title: An Efficient Ant Based Algorithm for Global Alignment of Protein-Protein Interaction Networks
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: Global aligning two protein-protein interaction networks is an essentially important task in bioinformatics. It is a challenging and widely studied research topic in recent years. Accurately aligned networks allow us to identify functional modules of proteins and/ororthologous proteins from which unknown functions of a protein can be inferred. In this article, we introduce an ant based global network alignment algorithm called ACOGA. The experiments show that the method that we proposed get better results than the introduced methods recently.
date: 2016-03-26
date_type: published
full_text_status: public
pres_type: poster
event_title: SW4PHD: the 2016 Scientific Workshop for PhD Students
event_location: Hanoi
event_dates: 26 March 2016
event_type: workshop
refereed: FALSE
citation:   Tran, Ngoc Ha and Hoang, Xuan Huan  (2016) An Efficient Ant Based Algorithm for Global Alignment of Protein-Protein Interaction Networks.  In: SW4PHD: the 2016 Scientific Workshop for PhD Students, 26 March 2016, Hanoi.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1553/1/Poster.pdf