Nigsch, Florian <br/><br/>
Ligand-target prediction using Winnow and naive Bayesian algorithms and the implications of overall performance statistics.  [electronic resource] 

 -  Journal of chemical information and modeling  Dec 2008 
 - 2313-25 p.  digital 
<br/><br/> Publication Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1549-9596 
<br/><br/><label>Standard No.: </label>10.1021/ci800079x  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Algorithms<br/>Bayes Theorem<br/>CDC2 Protein Kinase--metabolism<br/>Cyclic Nucleotide Phosphodiesterases, Type 5--metabolism<br/>Cyclin B--metabolism<br/>Databases, Factual<br/>Drug Design<br/>Drug Discovery--classification<br/>Drug Evaluation, Preclinical<br/>Ligands<br/>Monte Carlo Method<br/>User-Computer Interface