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Extracting a biologically latent space of lung cancer epigenetics with variational autoencoders
BACKGROUND: Lung cancer is one of the most malignant tumors, causing over 1,000,000 deaths each year worldwide. Deep learning has brought success in many domains in recent years. DNA methylation, an epigenetic factor, is used for model training in many studies. There is an opportunity for deep learn...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876071/ https://www.ncbi.nlm.nih.gov/pubmed/31760935 http://dx.doi.org/10.1186/s12859-019-3130-9 |