osval78

Adversarial_Boruta_-AB-_Method

Adversarial_Method

Balanced_Sensitivity_Specificity

Benefits_Sparse_Testing

BLUES_Across_LOC_Geno_Markers

Book_Multivariate_Statistical_Machine_Learning_For_Genomic_Prediction

DA_Second

Data_Augmentation_Regression

Multivariate_Tuning_Kernel_Method

Data sets for implementing three strategies of tuning under multivariate GBLUP model with Gaussian kernel

SKM_Multivariate_NAPB

osval78/SKM_Multivariate_NAPB

osval78/Book_Multivariate_Statistical_Machine_Learning_For_Genomic_Prediction

osval78/Multivariate_Tuning_Kernel_Method

Data sets for implementing three strategies of tuning under multivariate GBLUP model with Gaussian kernel

osval78/Adversarial_Boruta_-AB-_Method

osval78/Adversarial_Method

osval78/Balanced_Sensitivity_Specificity

osval78/Benefits_Sparse_Testing

osval78/BLUES_Across_LOC_Geno_Markers

osval78/DA_Second

osval78/Data_Augmentation_Regression

osval78/Multimodal_Deep_Learning_Paper

osval78/Novel_LOEO_Model

osval78/PLS-data

osval78/Potato_2023

osval78/Reformulation-data

osval78/SKM_Genomic_Selection_Example

osval78/SKM_Library_Examples

Here are available a manual for the use of the SKM library with code and many examples

osval78/sparse_testing

osval78/toy_dataset

osval78/Univariate_Tuning_Kernel_Method

osval78/WSU_Code

Code used for Genomics combined with UAS data enhances prediction of grain yield in winter wheat