A penalized likelihood method for mapping epistatic quantitative trait Loci with one-dimensional genome searches.
about
A model selection approach for the identification of quantitative trait loci in experimental crosses, allowing epistasis.A mixed-model quantitative trait loci (QTL) analysis for multiple-environment trial data using environmental covariables for QTL-by-environment interactions, with an example in maizeUnraveling epistasis with triple testcross progenies of near-isogenic linesQTL analysis of seed germination and pre-emergence growth at extreme temperatures in Medicago truncatulaMapping quantitative trait loci with censored observationsBayesian model choice and search strategies for mapping interacting quantitative trait Loci.Modifying the Schwarz Bayesian information criterion to locate multiple interacting quantitative trait loci.Genetic influences on growth and body composition in mice: multilocus interactions.Bias correction for estimated QTL effects using the penalized maximum likelihood method.On locating multiple interacting quantitative trait loci in intercross designs.
P2860
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P2860
A penalized likelihood method for mapping epistatic quantitative trait Loci with one-dimensional genome searches.
description
2002 nî lūn-bûn
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2002年の論文
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2002年論文
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2002年論文
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2002年論文
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name
A penalized likelihood method ...... e-dimensional genome searches.
@en
A penalized likelihood method ...... e-dimensional genome searches.
@nl
type
label
A penalized likelihood method ...... e-dimensional genome searches.
@en
A penalized likelihood method ...... e-dimensional genome searches.
@nl
prefLabel
A penalized likelihood method ...... e-dimensional genome searches.
@en
A penalized likelihood method ...... e-dimensional genome searches.
@nl
P2093
P2860
P1433
P1476
A penalized likelihood method ...... ne-dimensional genome searches
@en
P2093
Cajo J F Ter Braak
Martin P Boer
Ritsert C Jansen
P2860
P304
P407
P577
2002-10-01T00:00:00Z