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

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 Resonanc...

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Detalles Bibliográficos
Autores principales: Smolinska, Agnieszka, Blanchet, Lionel, Coulier, Leon, Ampt, Kirsten A. M., Luider, Theo, Hintzen, Rogier Q., Wijmenga, Sybren S., Buydens, Lutgarde M. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3371049/
https://www.ncbi.nlm.nih.gov/pubmed/22715376
http://dx.doi.org/10.1371/journal.pone.0038163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3371049/
https://www.ncbi.nlm.nih.gov/pubmed/22715376
http://dx.doi.org/10.1371/journal.pone.0038163

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