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.
Full text not available from this repository.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: | 28 Oct 2011 17:07 |
| Last Modified: | 03 Jun 2013 01:11 |
| DOI: | 10.1093/bioinformatics/btq053 |
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