@inproceedings{bad81c24fa7941078cb567b83b8c5f25,
title = "ProRank+: A method for detecting protein complexes in protein interaction networks",
abstract = "The course of developing effective medical treatments is typically based on the identification of diseasetriggering protein complexes. In this paper, we present ProRank+, an effective method for detecting protein complexes in protein interaction networks. By assuming that complexes may overlap, the method uses a ranking algorithm to order proteins based on their importance in the network. In addition, a novel merging procedure is introduced to refine the predicted complexes in terms of their members. The experimental studies and results showed that ProRank+ outperforms several state-of-the-art methods in terms of the number of correctly-detected protein complexes using numerous quality measures.",
keywords = "Essential Protein, Google PageRank Algorithm, PPI, ProRank Algorithm, Protein Complex",
author = "Hanna, {Eileen Marie} and Nazar Zaki",
year = "2014",
doi = "10.5220/0004910802390244",
language = "English",
isbn = "9789897580123",
series = "BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014",
publisher = "SciTePress",
pages = "239--244",
booktitle = "BIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014",
note = "5th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 ; Conference date: 03-03-2014 Through 06-03-2014",
}