Course topics
- Mutational signatures in cancer as an example problem for the course using Non-negative matrix factorisation
- Probabilistic modelling, mutational signatures continued from a probabilistic view point. Expectation Maximisation. Sparsity of models.
- Clustering, Hidden Markov Models: cancer subclone reconstruction problem as an example.
- Symbolic Regression and its applications in biology
- Reinforcement Learning and its applications in biology
- Deep learning in molecular biology
- Predicting drug combination responses in cancer with machine learning
- Machine Learning in metagenomics