Mixture generalized linear models for multiple interval mapping of quantitative trait loci in experimental crosses

Biometrics

Volumn 65, Issue 2, 2009, Pages 470-477

  Chen, Zehua ^a   Liu, Jianbin ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b ZHEJIANG SCI TECH UNIVERSITY   (China)

Author keywords

Epistasis; Experimental crosses; Generalized linear model; Mixture model; Model selection; Multiple interval mapping; Quantitative trait loci

Indexed keywords

COMPUTATIONAL EFFICIENCY; IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; NORMAL DISTRIBUTION; PLANTS (BOTANY);

ECONOMIC IMPORTANCE; EPISTASI; EXPERIMENTAL CROSS; GENERALIZED LINEAR MODEL; INTERVAL MAPPING; MIXTURE MODELING; MODEL SELECTION; MULTIPLE INTERVAL MAPPING; QUANTITATIVE TRAIT LOCI MAPPINGS; QUANTITATIVE TRAIT LOCUS;

MAPPING;

ALGORITHM; EPISTASIS; EXPERIMENTAL STUDY; MAPPING METHOD; MODELING;

ALGORITHM; ARTICLE; CONTROLLED STUDY; GENE MAPPING; GENETIC EPISTASIS; MATHEMATICAL COMPUTING; QUANTITATIVE TRAIT LOCUS; STATISTICAL MODEL;

RADIATA;

EID: 66949112585     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01100.x     Document Type: Article

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