Prediction of Protein Functions from Protein Interaction Networks: A Naïve Bayes Approach

Autor:	Duong Nguyen, Krzysztof J. Cios, Cao D. Nguyen, Katheleen Gardiner
Rok vydání:	2008
Předmět:	Naive Bayes classifier Phylogenetic tree Interaction network Computer science Gene expression Protein function prediction Data mining Computational biology Protein superfamily Human Protein Reference Database computer.software_genre computer Topology (chemistry)
Zdroj:	PRICAI 2008: Trends in Artificial Intelligence ISBN: 9783540891963 PRICAI
Popis:	Predicting protein functions is one of most challenging problems in bioinformatics. Among several approaches, such as analyzing phylogenetic profiles, homologous protein sequences or gene expression patterns, methods based on protein interaction data are very promising. We propose here a novel method using Naive Bayes which takes advantage of protein interaction network topology to improve low-recall predictions. Our method is tested on proteins from the Human Protein Reference Database (HPRD) and on the yeast proteins from the BioGRID and compared with other state-of-the-art approaches. Analyses of the results, using several methods that include ROC analyses, indicate that our method predicts protein functions with significantly higher recall without lowering precision.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e7d1b7a1a5281afba5867eb5d0036ddc https://doi.org/10.1007/978-3-540-89197-0_73 Zobrazit plný text záznamu