Gene expression analysis

Gene expression analysis

Microarrays are recent developments in molecular biology, and allow screening of thousands of genes for their expression. Thus very large amounts of data need to be processed and analysed, and methodological innovations are needed. Microarray data are generally very noisy and extracting useful information for targeted biological questions is a challenging task. For a dynamic analysis of a cellular system it is necessary to create mathematical models. The scope and level of abstraction may vary substantially depending on whether the intention is, for example, to obtain an in-depth understanding of system behaviour, or to predict complex behaviours in response to complex stimuli. The main goal is the development of new analytic and numerical tools which apply and extend the theory of Bayesian graphical models in conjunction with various sources of information, and to combine information from several sources into a single large probabilistic gene mapping analysis.

Contact: Elja Arjas, Jukka Kohonen