TSDFGS: Training Set Determination for Genomic Selection

Determining training set for genomic selection using a genetic algorithm (Holland J.H. (1975) <DOI:10.1145/1216504.1216510>) or simple exchange algorithm (change an individual every iteration). Three different criteria are used in both algorithms, which are r-score (Ou J.H., Liao C.T. (2018) <DOI:10.6342/NTU201802290>), PEV-score (Akdemir D. et al. (2015) <DOI:10.1186/s12711-015-0116-6>) and CD-score (Laloe D. (1993) <DOI:10.1186/1297-9686-25-6-557>). Phenotypic data for candidate set is not necessary for all these methods. By using it, one may readily determine a training set that can be expected to provide a better training set comparing to random sampling.

Package details

AuthorJen-Hsiang Ou and Chen-Tuo Liao
MaintainerJen-Hsiang Ou<[email protected]>
LicenseGPL (>= 3)
URL https://tsdfgs.oumark.me
Package repositoryView on CRAN
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TSDFGS documentation built on May 1, 2019, 6:49 p.m.