ACOGNA2: A novel algorithm for maximizing accuracy in global network alignment

被引：0

作者：

Ngoc Anh Vu Thi ^{[1
]}

Ngoc Ha Tran ^{[2
]}

Duc Dong ^{[3
]}

Phuc Thai ^{[4
]}

机构：

[1] Hanoi Coll Ind Econ, Hanoi, Vietnam

[2] TNU Univ Educ, Thai Nguyen, Vietnam

[3] Vietnam Natl Univ Hanoi, Hanoi, Vietnam

[4] Virginia Commonwealth Univ, Richmond, VA 23284 USA

来源：

PROCEEDINGS OF 2019 6TH NATIONAL FOUNDATION FOR SCIENCE AND TECHNOLOGY DEVELOPMENT (NAFOSTED) CONFERENCE ON INFORMATION AND COMPUTER SCIENCE (NICS) | 2019年

关键词：

Ant colony optimization; PPI networks; networks alignment; PROTEIN-INTERACTION;

D O I：

10.1109/nics48868.2019.9023849

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Proteins do not independently work, they interact with each other. Their interactions are modelled by protein-protein interaction (PPI) networks. PPI networks alignment problem has great significance in the biomedical field and has attracted the interest of many researchers. This article introduces a new algorithm called ACOGNA2 to global aligning the PPI networks. Experiments demonstrated that the proposed algorithm outperform the state-of-the-art algorithms.

引用

页码：44 / 48

页数：5

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