Multiview comodeling to improve subtyping and genetic association of complex diseases

IEEE Journal of Biomedical and Health Informatics

Volumn 18, Issue 2, 2014, Pages 548-554

  Sun, Jiangwen ^a   Bi, Jinbo ^a   Kranzler, Henry R ^b,c  

^a University of Connecticut   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

Classification; cluster analysis; cotraining; genetic association; multiview analysis; phenotypic subtyping

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; FORMAL LANGUAGES; GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION;

ASSOCIATION ANALYSIS; CLINICAL MANIFESTATION; CO-TRAINING; COMPUTATIONAL EXPERIMENT; MULTI-VIEWS; MULTIOBJECTIVE PROGRAMMING; SUBTYPINGS; UNSUPERVISED CLUSTER;

GENETIC PROGRAMMING;

ALGORITHM; ARTICLE; BIOLOGY; CLUSTER ANALYSIS; COCAINE DEPENDENCE; DISEASES; GENETIC ASSOCIATION; GENETICS; HUMAN; METHODOLOGY; PHENOTYPE; SINGLE NUCLEOTIDE POLYMORPHISM; THEORETICAL MODEL;

ALGORITHMS; CLUSTER ANALYSIS; COCAINE-RELATED DISORDERS; COMPUTATIONAL BIOLOGY; DISEASE; GENETIC ASSOCIATION STUDIES; HUMANS; MODELS, THEORETICAL; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84896482376     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/JBHI.2013.2281362     Document Type: Article

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