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Detecting biased validation of predictive models in the positive-unlabeled setting: disease gene prioritization case study
MOTIVATION: Positive-unlabeled data consists of points with either positive or unknown labels. It is widespread in medical, genetic, and biological settings, creating a high demand for predictive positive-unlabeled models. The performance of such models is usually estimated using validation sets, as...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517638/ https://www.ncbi.nlm.nih.gov/pubmed/37745001 http://dx.doi.org/10.1093/bioadv/vbad128 |