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fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies
BACKGROUND: Parametric feature selection methods for machine learning and association studies based on genetic data are not robust with respect to outliers or influential observations. While rank-based, distribution-free statistics offer a robust alternative to parametric methods, their practical ut...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6567636/ https://ncbi.nlm.nih.gov/pubmed/31195980 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2869-3 |
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