Use of variable marker density, principal components, and neural networks in the dissection of disease etiology.
Pankratz, N
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
Publication Type: Journal Article; Research Support, U.S. Gov't, P.H.S.
0741-0395
10.1002/gepi.2001.21.s1.s732 doi
Artificial Intelligence
Chromosome Mapping--statistics & numerical data
Genetic Markers--genetics
Genetic Predisposition to Disease--genetics
Genetic Testing
Humans
Lod Score
Models, Genetic
Neural Networks, Computer
Phenotype
Principal Component Analysis
Quantitative Trait, Heritable
Risk Factors
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
Publication Type: Journal Article; Research Support, U.S. Gov't, P.H.S.
0741-0395
10.1002/gepi.2001.21.s1.s732 doi
Artificial Intelligence
Chromosome Mapping--statistics & numerical data
Genetic Markers--genetics
Genetic Predisposition to Disease--genetics
Genetic Testing
Humans
Lod Score
Models, Genetic
Neural Networks, Computer
Phenotype
Principal Component Analysis
Quantitative Trait, Heritable
Risk Factors