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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Главные авторы: Smolinska, Agnieszka, Blanchet, Lionel, Coulier, Leon, Ampt, Kirsten A. M., Luider, Theo, Hintzen, Rogier Q., Wijmenga, Sybren S., Buydens, Lutgarde M. C.
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2012
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Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3371049/
https://ncbi.nlm.nih.gov/pubmed/22715376
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0038163
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