Autoencoders with shared and specific embeddings for multi-omics data integration
We show that the proposed models have consistently high classification accuracy on both training and testing sets. In comparison, the recently proposed MOCSS model that imposes an orthogonality penalty in the post-processing step has lower classification accuracy that is on par with JIVE.
Authors
- Chao Wang (ORCID: https://orcid.org/0000-0001-5282-2397)
- Michael J. O’Connell (ORCID: https://orcid.org/0000-0003-3777-8556)
Institutions
- May Institute (US)
- Miami University (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-08-19
- DOI
- https://doi.org/10.1186/s12859-025-06245-7
- Citations
- 5
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 4.03
Funders
- University of Miami