Werke:
- Unsupervised multiple kernel learning approaches for integrating molecular cancer patient data
- Interpretable Machine Learning Methods for Prediction and Analysis of Genome Regulation in 3D
- Kernel-based machine learning on sequence data from proteomics and immunomics
- Predicting and analyzing HIV-1 adaptation to broadly neutralizing antibodies and the host immune system using machine learning