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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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| Main Authors: | , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Public Library of Science
2012
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| Fag: | |
| Online adgang: | 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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