Geert J. Postma

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The proposed analysis considers aspects of both statistical and biological validation of the glycolysis effect on brain gliomas, at both genomic and metabolic level. In particular, two independent datasets are analyzed in parallel, one engaging genomic (Microarray Expression) data and the other metabolomic (Magnetic Resonance Spectroscopy Imaging) data. The(More)
In order to evaluate the relevance of magnetic resonance (MR) features selected by automatic feature selection techniques to build classifiers for differential diagnosis and tissue segmentation two data sets containing MR spectroscopy data from patients with brain tumours were investigated. The automatically selected features were evaluated using literature(More)
A system for semiautomatic extraction of information from abstracts describing analytical methods is described. T he system is based on the theory o f Government and Binding for the syntactic part and Conceptual Graphs for the discourse analysis part. The system is modular and largely domain independent. The corpus of abstracts for which it is being(More)
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