BioinformaticsbioRxivPreprint
Unsupervised deep learning with variational autoencoders applied to breast tumor genome-wide DNA methylation data with biologic feature extraction
Alexander Titus, Owen M. Wilkins, Carly A. Bobak, Brock C. Christensen
This study applies variational autoencoders to breast tumor DNA methylation data to identify differential methylation patterns and regulatory regions.
30 citations