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...

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Detalles Bibliográficos
Autores principales: Molotkov, Ivan, Artomov, Mykyta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
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

Internet

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

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