Genome-enabled prediction of genetic values using radial basis function neural networks (Q36117388)

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31 January 2020

title

Genome-enabled prediction of genetic values using radial basis function neural networks (English)

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31 January 2020

5

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31 January 2020

José Crossa

8

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31 January 2020

author name string

J M González-Camacho

1

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31 January 2020

G de Los Campos

2

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31 January 2020

P Pérez

3

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31 January 2020

D Gianola

4

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31 January 2020

G Mahuku

6

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31 January 2020

R Babu

7

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language of work or name

English

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publication date

8 May 2012

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Theoretical and Applied Genetics

31 January 2020

published in

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31 January 2020

volume

125

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31 January 2020

issue

4

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31 January 2020

page(s)

759-771

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https://scigraph.springernature.com/pub.10.1007/s00122-012-1868-9

31 January 2020

exact match

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cites work

Genome-enabled prediction using the BLR (Bayesian Linear Regression) R-package

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Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat

2 October 2017

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Marker-assisted prediction of non-additive genetic values

2 October 2017

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Genomic-Enabled Prediction Based on Molecular Markers and Pedigree Using the Bayesian Linear Regression Package in R.

2 October 2017

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Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers.

2 October 2017

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Predicting quantitative traits with regression models for dense molecular markers and pedigree

2 October 2017

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Invited review: Genomic selection in dairy cattle: progress and challenges

2 October 2017

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Data and theory point to mainly additive genetic variance for complex traits

2 October 2017

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Nonparametric methods for incorporating genomic information into genetic evaluations: an application to mortality in broilers.

2 October 2017

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Reproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits

2 October 2017

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Genomic-assisted prediction of genetic value with semiparametric procedures

2 October 2017

1 reference

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Prediction of total genetic value using genome-wide dense marker maps

2 October 2017

1 reference

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Orthogonal least squares learning algorithm for radial basis function networks.

2 October 2017

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Reproducing kernel Hilbert spaces regression: a general framework for genetic evaluation.

21 January 2018

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Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods.

21 January 2018

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Radial basis function regression methods for predicting quantitative traits using SNP markers.

21 January 2018

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Efficient methods to compute genomic predictions

21 January 2018

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Spline Models for Observational Data

21 January 2018

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A penalized maximum likelihood method for estimating epistatic effects of QTL.

21 January 2018

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Universal Approximation Using Radial-Basis-Function Networks

21 January 2018

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Genomic Selection and Prediction in Plant Breeding

21 January 2018

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10.1007/S00122-012-1868-9

21 January 2018

Identifiers

DOI

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31 January 2020

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31 January 2020

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