predhy.GUI
Genomic Prediction of Hybrid Performance with Graphical User Interface
Performs genomic prediction of hybrid performance using eight GS methods including GBLUP, BayesB, RKHS, PLS, LASSO, Elastic net, XGBoost and LightGBM. GBLUP: genomic best liner unbiased prediction, RKHS: reproducing kernel Hilbert space, PLS: partial least squares regression, LASSO: least absolute shrinkage and selection operator, XGBoost: extreme gradient boosting, LightGBM: light gradient boosting machine. It also provides fast cross-validation and mating design scheme for training population (doi:10.1111/tpj.13242; doi:10.1534/g3.116.038059).
- Version2.0.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release06/17/2024
Team
Yuxiang Zhang
Yang Xu
Show author detailsRolesAuthorYanru Cui
Show author detailsRolesContributorChenwu Xu
Show author detailsRolesContributorShizhong Xu
Show author detailsRolesContributorGuangning Yu
Show author detailsRolesAuthor
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