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On the Use of the Pearson Correlation Coefficient for Model Evaluation in Genome-Wide Prediction
The large number of markers in genome-wide prediction demands the use of methods with regularization and model comparison based on some hold-out test prediction error measure. In quantitative genetics, it is common practice to calculate the Pearson correlation coefficient (r(2)) as a standardized me...
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| Published in: | Front Genet |
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| Main Author: | |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Frontiers Media S.A.
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6781837/ https://ncbi.nlm.nih.gov/pubmed/31632436 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2019.00899 |
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