Quantitative Systems Biology (QSB) group
We are mainly involved in quantitative data analysis and model development of complex biological systems.
The principal research directions are:
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Multi-omic Data Integration, Method Fusion & Multiscale Dynamics
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Model Selection & Regularization (Genomics - expression profiling, gene selection, regulation)
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Signal/Image Processing & Machine Learning Algorithms (Proteomics, Metabolomics)
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Statistical Inference & Predictive Modelling (Interactomics - PPI Networks)
For more information about the group activities, please continue through this link with details on the methodologies and their applications.