CUED Publications database

Gene function prediction from synthetic lethality networks via ranking on demand.

Lippert, C and Ghahramani, Z and Borgwardt, KM (2010) Gene function prediction from synthetic lethality networks via ranking on demand. Bioinformatics, 26. pp. 912-918.

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Abstract

Synthetic lethal interactions represent pairs of genes whose individual mutations are not lethal, while the double mutation of both genes does incur lethality. Several studies have shown a correlation between functional similarity of genes and their distances in networks based on synthetic lethal interactions. However, there is a lack of algorithms for predicting gene function from synthetic lethality interaction networks.

Item Type: Article
Uncontrolled Keywords: Algorithms Gene Regulatory Networks Genes, Lethal Genome, Fungal Genomics Saccharomyces cerevisiae Saccharomyces cerevisiae Proteins
Subjects: UNSPECIFIED
Divisions: Div F > Computational and Biological Learning
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 11:33
Last Modified: 13 Dec 2014 22:45
DOI: 10.1093/bioinformatics/btq053