Centre for Bio-Spectroscopy and Data Modelling

The Centre for Bio-Spectroscopy and Data Modelling at Campus Ås was established in February 2005 in order to strengthen the relationship between the two research areas indicated in the title: The biospectroscopy field and the data modelling field.

COURSE IN: Multivariate Data modelling for systems biology, 12. -16. january 2009.

The SpecMod group gathering - June 2007

Today the centre has almost 60 members working in a very broad field. The “biospectroscopy” term is interpreted broadly to include not only spectrophotometric techniques (FTIR, NIR, Vis., UV, Raman, Flourescence), but also other multi-channel techniques such as MS (e.g. Maldi-tof), NMR, 2D-electrophoresis, chromatography, micro-array technology and sensory science. In particular, cross-scientific combination of different measurement types is in focus.


The opening of Centre for Biospectroscopy and Data Modelling - February 2005

Likewise, “data modelling” is taken broadly, to include a range of mathematical modelling techniques and statistical assessment techniques and graphical interpretation techniques (e.g. multivariate bioinformatics and biochemometrics techniques like PCA, ICA, PLSR and various extensions of these, including linear and multi-block and multi-matrix mapping techniques, non-linear dynamic models from systems biology, image analysis), various pre-processing techniques (estimation and correction of variations in response baseline, scaling, curvature, shift and known interferences) and various statistical validation techniques to reduce and assess over-parameterization and false discovery.

The main purposes of the centre are:

• To generate an arena to discuss research related to the field of biospectroscopy and data modelling (seminars, conferences etc.).
• To generate projects and activities within the field.
• To make research at ÅS Campus more effective: Ås Campus has a broad range of research activities related to biospectroscopy and data modelling within life science. The centre will motivate people to work together and to put focus on large interdisciplinary activities with high academic impact and high practical value.

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