The rapid development of molecular biology has given rise to an increasing demand in computational and mathematical approaches to analyze and understand the resulting data. In particular, advanced methods from Bioinformatics are required to extract and investigate the essential information from high-throughput experiments, such as microarrays or Next Generation Sequencing. The emerging field of Systems Biology provides formal approaches to modeling and simulating regulatory processes in biological systems.
The research of our group is at the interface of computer science, statistics and life sciences and covers the following main aspects:
Our paper "A model of the onset of the Senescence Associated Secretory Phenotype after DNA damage induced Senescence" has been accepted for publishing in PLOS Computational Biology.
Our paper "The influence of multi-class feature selection on the prediction of diagnostic phenotypes" has been accepted for publishing in Neural Processing Letters.