phenotypes and kernels Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.6084/m9.figshare.21538350
· OA: W4394145157
The G3_R1.RData file contains the necessary data to replicate the main results found in the paper titled: <em>(Quasi) Multi-task support vector regression with heuristic hyperparameter</em> <em>optimization for whole-genome prediction of complex traits: a case study with carcass</em> <em>traits in broilers</em> <em>Alves, AAC, Fernandes AFA, Lopes FB, Breen V, Hawken R, Gianola D, Rosa GJM</em> <strong>Data Structure</strong> The file contains the following objects: <strong>pheno</strong>: A data frame containing the renumbered ID for the animals, the information about training, validation and testing sets, the de-regressed proofs for CT1, Growth, CT2, and FE, scaled to lie between 0 and 1. <strong>D</strong>: An NxN Euclidean Distance Matrix (EDM) for the animals' genotypes. <strong>G</strong>: The NxN genomic relationship matrix. <strong>WD_CT1</strong>: A list with 3 EDMs weighted according to the genetic architecture of CT1 (D11), CT1 x Growth (D12) and Growth (D22). <strong>WD_CT2</strong>: A list with 3 EDMs weighted according to the genetic architecture of CT2 (D11), CT2 x FE (D12) and FE (D22). <strong>Disclaimer</strong> This dataset is for academic use only
