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AucPR: An AUC-based approach using penalized regression for disease prediction with high-dimensional omics data
MOTIVATION: It is common to get an optimal combination of markers for disease classification and prediction when multiple markers are available. Many approaches based on the area under the receiver operating characteristic curve (AUC) have been proposed. Existing works based on AUC in a high-dimensi...
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| Опубликовано в: : | BMC Genomics |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2014
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4304290/ https://ncbi.nlm.nih.gov/pubmed/25559769 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-15-S10-S1 |
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