Interpretation and Visualization of Non-Linear Data Fusion in Kernel Space: Study on Metabolomic Characterization of Progression of Multiple Sclerosis

@inproceedings{Smolinska2012InterpretationAV,
  title={Interpretation and Visualization of Non-Linear Data Fusion in Kernel Space: Study on Metabolomic Characterization of Progression of Multiple Sclerosis},
  author={Agnieszka Smolinska and Lionel Blanchet and Leon Coulier and Kirsten A. M. Ampt and Theo Luider and Rogier Q. Hintzen and Sybren S. Wijmenga and Lutgarde M. C. Buydens},
  booktitle={PloS one},
  year={2012}
}
BACKGROUND In the last decade data fusion has become widespread in the field of metabolomics. Linear data fusion is performed most commonly. However, many data display non-linear parameter dependences. The linear methods are bound to fail in such situations. We used proton Nuclear Magnetic Resonance and Gas Chromatography-Mass Spectrometry, two well established techniques, to generate metabolic profiles of Cerebrospinal fluid of Multiple Sclerosis (MScl) individuals. These datasets represent… CONTINUE READING