Genome-enabled prediction through quantile random forest for complex traits

Genome-enabled prediction through quantile random forest for complex traits

ABSTRACT: Quantile Random Forest (QRF) is a non-parametric methodology that combines the advantages of Random Forest (RF) and Quantile Regression (QR). Specifically, this approach can explore non-linear functions, determining the probability distribution of a response variable and extracting informa...

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Bibliographic Details
Main Authors: Cristiane Botelho Valadares, Moysés Nascimento, Maurício de Oliveira Celeri, Ana Carolina Campana Nascimento, Laís Mayara Azevedo Barroso, Isabela de Castro Sant’Anna, Camila Ferreira Azevedo
Format: Article
Language:English
Published: Universidade Federal de Santa Maria 2023-02-01
Series:Ciência Rural
Subjects:
genomic selection
accuracy
epistasis
dominance
prediction
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782023001000403&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782023001000403&tlng=en

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