Loading...
No address on recordPart of Replication Data for: A guide for generalized kernel regression methods for genomic-enabled prediction
The catalogue this record was harvested from did not include an address for this resource. The data can be reached through the dataset's page at the source.
CIMMYT Ethiopia
The data contained in these datasets can be used to implement Bayesian generalized kernel regression methods for genome-enabled prediction in the statistical software R, The accompanying paper describes the building process of 7 kernel methods (linear, polynomial, sigmoid, Gaussian and Arc-cosine 1, Arc-cosine L).