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                                            Alexander Titus

An unsupervised deep learning framework with variational autoencoders for genome-wide DNA methylation analysis and biologic feature extraction applied to breast cancer

https://doi.org/10.1101/433763 > Recent advances in deep learning, particularly unsupervised approaches, have shown promise for furthering our biological knowledge through their application to gene expression datasets, though applications to epigenomic data...

paper

A New Dimension of Breast Cancer Epigenetics - Applications of Variational Autoencoders with DNA Methylation

https://doi.org/10.5220/0006636401400145 > In the era of precision medicine and cancer genomics, data are being generated so quickly that it is difficult to fully appreciate the extent of what is discoverable....

paper