Exploring generative deep learning for omics data using log-linear models.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Dec 22, 2020
Abstract
MOTIVATION: Following many successful applications to image data, deep learning is now also increasingly considered for omics data. In particular, generative deep learning not only provides competitive prediction performance, but also allows for uncovering structure by generating synthetic samples. However, exploration and visualization is not as straightforward as with image applications.