Assessing optimal neural network architecture for identifying disease-associated multi-marker genotypes using a permutation test, and application to calpain 10 polymorphisms associated with diabetes

Annals of Human Genetics

Volumn 67, Issue 4, 2003, Pages 348-356

  North, Bernard V ^a   Curtis, D ^a   Cassell, P G ^a   Hitman, G A ^a   Sham, P C ^b  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CALPAIN; CALPAIN 10; GLUCOSE; UNCLASSIFIED DRUG;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CASE CONTROL STUDY; CONTROLLED STUDY; DISEASE ASSOCIATION; DNA POLYMORPHISM; GENETIC ASSOCIATION; GENETIC MARKER; GENETIC RISK; GENOTYPE; GLUCOSE TOLERANCE; HUMAN; MAJOR CLINICAL STUDY; MUTATIONAL ANALYSIS; NON INSULIN DEPENDENT DIABETES MELLITUS; PRIORITY JOURNAL; RISK FACTOR; COMPARATIVE STUDY; COMPUTER SIMULATION; GENETIC POLYMORPHISM; GENETIC SCREENING; GENETICS; HAPLOTYPE; INDIA; METHODOLOGY;

CALPAIN; CASE-CONTROL STUDIES; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 2; GENETIC SCREENING; GENOTYPE; HAPLOTYPES; HUMANS; INDIA; NEURAL NETWORKS (COMPUTER); POLYMORPHISM, GENETIC;

EID: 1542330229     PISSN: 00034800     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1469-1809.2003.00030.x     Document Type: Article

References (8)

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