טוען...
Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning
Feature selection (FS, i.e., selection of a subset of predictor variables) is essential in high-dimensional datasets to prevent overfitting of prediction/classification models and reduce computation time and resources. In genomics, FS allows identifying relevant markers and designing low-density SNP...
שמור ב:
| הוצא לאור ב: | Front Genet |
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| Main Authors: | , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Frontiers Media S.A.
2021
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7938892/ https://ncbi.nlm.nih.gov/pubmed/33692825 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2021.611506 |
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