Penalized classification for optimal statistical selection of markers from high-throughput genotyping: application in sheep breeds.

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Penalized classification for optimal statistical selection of markers from high-throughput genotyping: application in sheep breeds.

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2017 nî lūn-bûn

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Penalized classification for o ...... : application in sheep breeds.

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Penalized classification for o ...... : application in sheep breeds.

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Penalized classification for o ...... : application in sheep breeds.

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Penalized classification for o ...... : application in sheep breeds.

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Penalized classification for o ...... : application in sheep breeds.

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Penalized classification for o ...... : application in sheep breeds.

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P1476

Penalized classification for o ...... : application in sheep breeds.

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P2093

B Portolano

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M Chiodi

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M T Sardina

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M Tolone

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R Di Gerlando

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P2860

genepop'007: a complete re-implementation of the genepop software for Windows and Linux

CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure

High resolution of human evolutionary trees with polymorphic microsatellites

SNPchiMp v.3: integrating and standardizing single nucleotide polymorphism data for livestock species

MTML-msBayes: approximate Bayesian comparative phylogeographic inference from multiple taxa and multiple loci with rate heterogeneity

SNPs for parentage testing and traceability in globally diverse breeds of sheep

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

Predicting breed composition using breed frequencies of 50,000 markers from the US Meat Animal Research Center 2,000 Bull Project.

Selection of SNP from 50K and 777K arrays to predict breed of origin in cattle.

P304

1118-1125

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scholarly article

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10.1017/S175173111700266X

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P433

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P478

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P50

Salvatore Mastrangelo

Gianluca Sottile

P577

2017-10-24T00:00:00Z

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P698

29061210

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