Predicting phenotypes from high-dimensional genomes using gradient boosting decision trees
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DOI: 10.1109/access.2022.3171341
Abstract: Genomic selection is an emerging technique for predicting unknown phenotypes using genome-wide marker coverage, allowing the use of efficient computational models to select individuals with high phenotypic values as candidate breeding populations. However, Genome Selection… read more here.
Keywords: gbdt; prediction; model; prediction accuracy ... See more keywords