ProRank+ - A Method for Detecting Protein Complexes in Protein Interaction Networks

Eileen Marie Hanna, Nazar Zaki

2014

Abstract

The course of developing effective medical treatments is typically based on the identification of disease-triggering 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.

Paper Citation

in Harvard Style

Hanna E. and Zaki N. (2014). ProRank+ - A Method for Detecting Protein Complexes in Protein Interaction Networks . In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014) ISBN 978-989-758-012-3, pages 239-244. DOI: 10.5220/0004910802390244

in Bibtex Style

@conference{bioinformatics14,
author={Eileen Marie Hanna and Nazar Zaki},
title={ProRank+ - A Method for Detecting Protein Complexes in Protein Interaction Networks},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014)},
year={2014},
pages={239-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004910802390244},
isbn={978-989-758-012-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2014)
TI - ProRank+ - A Method for Detecting Protein Complexes in Protein Interaction Networks
SN - 978-989-758-012-3
AU - Hanna E.
AU - Zaki N.
PY - 2014
SP - 239
EP - 244
DO - 10.5220/0004910802390244