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Learning from small medical data—robust semi-supervised cancer prognosis classifier with Bayesian variational autoencoder
MOTIVATION: Cancer is one of the world’s leading mortality causes, and its prognosis is hard to predict due to complicated biological interactions among heterogeneous data types. Numerous challenges, such as censorship, high dimensionality and small sample size, prevent researchers from using deep l...
| 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/PMC9832968/ https://www.ncbi.nlm.nih.gov/pubmed/36698767 http://dx.doi.org/10.1093/bioadv/vbac100 |