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The details are given on the lab's web site.
- Bioinformatics
- Microarray gene expression analysis
- Biological network inference
- Integration of heterogeneous data
- Prediction of cancer drug resistance
- Machine Learning
- Learning with networks
- Kernel machines such as support vector machine
- Probabilistic models such as hidden Markov model
- Statistical pattern recognition
- Hand-writing recognition
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