Finding quantitative trait loci genes with collaborative targeted maximum likelihood learning

Quantitative trait loci mapping is focused on identifying the positions and effect of genes underlying an observed trait. We present a collaborative targeted maximum likelihood estimator in a semi-parametric model using a newly proposed 2-part super learning algorithm to find quantitative trait loci genes in listeria data. Results are compared to the parametric composite interval mapping approach.

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Year of publication:	2011
Authors:	Wang, Hui ; Rose, Sherri ; Laan, Mark J. van der
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 81.2011, 7, p. 792-796
Publisher:	Elsevier
Keywords:	Collaborative targeted maximum likelihood estimation Quantitative trait loci Super learner Machine learning

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10009023536