Pankratz, N <br/><br/>
Use of variable marker density, principal components, and neural networks in the dissection of disease etiology.  [electronic resource] 

 -  Genetic epidemiology  2001 
 - S732-7 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, U.S. Gov't, P.H.S. 
<br/><br/><label>ISSN: </label>0741-0395 
<br/><br/><label>Standard No.: </label>10.1002/gepi.2001.21.s1.s732  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial Intelligence<br/>Chromosome Mapping--statistics & numerical data<br/>Genetic Markers--genetics<br/>Genetic Predisposition to Disease--genetics<br/>Genetic Testing<br/>Humans<br/>Lod Score<br/>Models, Genetic<br/>Neural Networks, Computer<br/>Phenotype<br/>Principal Component Analysis<br/>Quantitative Trait, Heritable<br/>Risk Factors