Deep latent space fusion for adaptive representation of heterogeneous multi-omics data.
Article in Briefings in Bioinformatics (January 2022)
The most recent citing publications are shown below. View all 3 publications that cite this research output on Dimensions.
Hierarchical autoencoder-based integration improves performance in multi-omics cancer survival models through soft modality selection
Preprint in bioRxiv (September 2021)
Using machine learning approaches for multi-omics data analysis: A review
Article in Biotechnology Advances (March 2021)