@inproceedings{feded5330db645459245c995eee4c998,
title = "NetCoffee2: A Novel Global Alignment Algorithm for Multiple PPI Networks Based on Graph Feature Vectors",
abstract = "Network alignment provides a fast and effective framework to automatically identify functionally conserved proteins in a systematic way. However, due to the fast growing biological data, there is an increasing demand for more accurate and efficient tools to deal with multiple PPI networks. Here, we present a novel global alignment algorithm NetCoffee2 to discover functionally conserved proteins. To test the algorithm performance, NetCoffee2 and several existing algorithms were applied on eight real biological datasets. Results show that NetCoffee2 is superior to IsoRankN, NetCoffee and multiMAGNA++ in terms of both coverage and consistency. The binary and source code are freely available at https://github.com/screamer/NetCoffee2.",
keywords = "Functionally conserved proteins, PPI network alignment, Simulated annealing",
author = "Jialu Hu and Junhao He and Yiqun Gao and Yan Zheng and Xuequn Shang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 14th International Conference on Intelligent Computing, ICIC 2018 ; Conference date: 15-08-2018 Through 18-08-2018",
year = "2018",
doi = "10.1007/978-3-319-95933-7\_30",
language = "英语",
isbn = "9783319959320",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "241--246",
editor = "De-Shuang Huang and Kang-Hyun Jo and Xiao-Long Zhang",
booktitle = "Intelligent Computing - 14th International Conference, ICIC 2018, Proceedings",
}