Combined use of principal component analysis and random forests identify population-informative single nucleotide polymorphisms: application in cattle breeds-Reference-Cited by-同舟云学术

Combined use of principal component analysis and random forests identify population-informative single nucleotide polymorphisms: application in cattle breeds

Published:2015-03-17 Issue:5 Volume:132 Page:346-356
ISSN:0931-2668
Container-title:Journal of Animal Breeding and Genetics
language:en
Short-container-title:J. Anim. Breed. Genet.

Author:

Bertolini F.¹,Galimberti G.²,Calò D.G.²,Schiavo G.¹,Matassino D.³,Fontanesi L.¹

Affiliation:

1. Department of Agricultural and Food Sciences; Division of Animal Sciences; University of Bologna; Bologna Italy

2. Department of Statistical Sciences ‘Paolo Fortunati’; University of Bologna; Bologna Italy

3. ConSDABI; Benevento Italy

Funder

Selmol

Innovagen MiPAAF projects

Publisher

Wiley

Subject

Animal Science and Zoology,Food Animals,General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jbg.12155/fullpdf

Reference32 articles.

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