TY  - CONF
ID  - SisLab1553
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1553/
A1  - Tran, Ngoc Ha
A1  - Hoang, Xuan Huan
Y1  - 2016/03/26/
N2  - 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.
TI  - An Efficient Ant Based Algorithm for Global Alignment of Protein-Protein Interaction Networks
M2  - Hanoi
AV  - public
T2  - SW4PHD: the 2016 Scientific Workshop for PhD Students
ER  -