H. P. Piepho
AuthID: R-00H-CCV
1
TITLE: Genomic prediction using machine learning: a comparison of the performance of regularized regression, ensemble, instance-based and deep learning methods on synthetic and empirical data Full Text
AUTHORS: Lourenco, Vanda M.; Ogutu, Joseph O.; Rodrigues, Rui A. P.; Posekany, Alexandra; Piepho, Hans Peter;
PUBLISHED: 2024, SOURCE: BMC GENOMICS, VOLUME: 25, ISSUE: 1
AUTHORS: Lourenco, Vanda M.; Ogutu, Joseph O.; Rodrigues, Rui A. P.; Posekany, Alexandra; Piepho, Hans Peter;
PUBLISHED: 2024, SOURCE: BMC GENOMICS, VOLUME: 25, ISSUE: 1
INDEXED IN: 
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WOS2
TITLE: Genomic prediction using machine learning: a comparison of the performance of regularized regression, ensemble, instance-based and deep learning methods on synthetic and empirical data Full Text
AUTHORS: Lourenco, Vanda M.; Ogutu, Joseph O.; Rodrigues, Rui A. P.; Posekany, Alexandra; Piepho, Hans Peter;
PUBLISHED: 2024, SOURCE: BMC GENOMICS, VOLUME: 25, ISSUE: 1
AUTHORS: Lourenco, Vanda M.; Ogutu, Joseph O.; Rodrigues, Rui A. P.; Posekany, Alexandra; Piepho, Hans Peter;
PUBLISHED: 2024, SOURCE: BMC GENOMICS, VOLUME: 25, ISSUE: 1
3
TITLE: A robust DF-REML framework for variance components estimation in genetic studies Full Text
AUTHORS: Lourenco, VM ; Rodrigues, PC; Pires, AM; Piepho, HP;
PUBLISHED: 2017, SOURCE: BIOINFORMATICS, VOLUME: 33, ISSUE: 22
AUTHORS: Lourenco, VM ; Rodrigues, PC; Pires, AM; Piepho, HP;
PUBLISHED: 2017, SOURCE: BIOINFORMATICS, VOLUME: 33, ISSUE: 22
