- An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics
- Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels
- The Power of Universal Contextualized Protein Embeddings in Cross-species Protein Function Prediction
- Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function