Combined use of principal component analysis and random forests identify population-informative single nucleotide polymorphisms: application in cattle breeds
Author:
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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4. Random forests for genomic data analysis;Chen;Genomics,2012
5. Use of the canonical discriminant analysis to select SNP markers for bovine breed assignment and traceability purposes;Dimauro;Anim. Genet.,2013
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