Genome-enabled prediction through quantile random forest for complex traits
Cristiane Botelho Valadares,
Moysés Nascimento,
Maurício de Oliveira Celeri
et al.
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 information from different quantiles instead of just predicting the mean. This evaluated the performance of the QRF in the genomic prediction for complex traits (epistasis and dominance). In addition, compare the accuracies obtained… Show more
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