Sandra Ortega-Martorell1,2, Ivan Olier1,2, Margarida Julia-Sape1,3, Carles Arus1,3
1Bioquimica i Biologia Molecular, Universitat Autonoma de Barcelona, Cerdanyola del Valles, Barcelona, Spain; 2Computing Languages and Systems, Technical University of Catalonia, Barcelona, Spain; 3CIBER-BBN, Universitat Autonoma de Barcelona, Cerdanyola del Valles, Barcelona, Spain
Nowadays, multiplatform, easy to use software programs for quick and robust classification of MRS data are scarce. TumourClassifier is a java software solution that uses statistical machine learning techniques to design and implement classifiers based on in-vivo SV 1H-MRS. TumourClassifier is a simple and robust tool for helping spectroscopists to analyze and classify single-voxel NMR spectra, minimizing the user learning process curve, and allowing users to display and evaluate the results obtained.
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