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Biosystems Data Analysis

Group leader prof. Age Smilde

Measurements on biological systems generate an abundance of data. These data have to be transformed to information (summarised) and presented to the user (visualised). One way of doing both simultaneously is by using models.

Our general aim is to develop and validate methods for organising, summarising and visualising complex biological data for systems biology through the integration of bioinformatics and biostatistics. 

Knowledge representation and integration is a typical bioinformatics activity. The represented knowledge can be used as a priori knowledge and combined with data-driven models using grey modelling techniques. A challenging application area is human systems biology where complex data are generated that cannot be analysed without using models.