Brief review of regression-based and machine learning methods in genetic epidemiology: The Genetic Analysis Workshop 17 experience

Genetic Epidemiology

Volumn 35, Issue SUPPL. 1, 2011, Pages

  Dasgupta, Abhijit ^a   Sun, Yan V ^b   König, Inke R ^c   Bailey Wilson, Joan E ^d   Malley, James D ^e  

^a NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c UNIVERSITY OF LÜBECK   (Germany)

^d NATIONAL HUMAN GENOME RESEARCH INSTITUTE   (United States)

^e NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Cluster analysis; Cross validation; Decision trees; LASSO; Logic regression; Logistic regression; Poisson regression; Random forests; Ridge regression; Software; Supervised learning; Unsupervised learning

Indexed keywords

ARTICLE; CASE CONTROL STUDY; CLINICAL FEATURE; CLUSTER ANALYSIS; CROSS VALIDATION; DATA ANALYSIS SOFTWARE; DECISION TREE; GENERALIZED LINEAR ANALYSIS; GENETIC ALGORITHM; GENETIC ANALYSIS; GENETIC ANALYSIS WORKSHOP 17; GENETIC ASSOCIATION; GENETIC EPIDEMIOLOGY; GENETIC SELECTION; GENETIC VARIABILITY; INHERITANCE; LINEAR REGRESSION ANALYSIS; LOGIC; MACHINE LEARNING; OUTCOME ASSESSMENT; PREDICTION; QUANTITATIVE TRAIT; RANDOM FOREST; REGRESSION ANALYSIS; SAMPLE SIZE; VALIDATION PROCESS; WORKSHOP;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; CONGRESSES AS TOPIC; DECISION TREES; GENETICS; HUMANS; MOLECULAR EPIDEMIOLOGY; REGRESSION ANALYSIS;

EID: 82455175511     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.20642     Document Type: Article

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