Lee, Insuk <br/><br/>
A single gene network accurately predicts phenotypic effects of gene perturbation in Caenorhabditis elegans.  [electronic resource] 

 -  Nature genetics  Feb 2008 
 - 181-8 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1546-1718 
<br/><br/><label>Standard No.: </label>10.1038/ng.2007.70  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Animals<br/>Bayes Theorem<br/>Caenorhabditis elegans--genetics<br/>Computational Biology--methods<br/>Databases, Genetic<br/>Dystrophin-Associated Protein Complex--genetics<br/>Epidermal Growth Factor--metabolism<br/>Female<br/>Gene Expression Regulation, Developmental<br/>Gene Regulatory Networks--genetics<br/>Genes, Helminth<br/>Genes, ras<br/>Genetic Linkage<br/>Helminth Proteins--genetics<br/>Likelihood Functions<br/>Mitogen-Activated Protein Kinases--metabolism<br/>Models, Biological<br/>Models, Genetic<br/>Phenotype<br/>Predictive Value of Tests<br/>Probability<br/>Proteome--genetics<br/>RNA Interference<br/>RNA, Helminth--genetics<br/>RNA, Messenger--metabolism<br/>ROC Curve<br/>Repressor Proteins--genetics<br/>Reproducibility of Results<br/>Retinoblastoma Protein--antagonists & inhibitors<br/>Signal Transduction<br/>Vulva--growth & development