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PLS vs canonical correlation and relation to the O2PLS method |
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Written by Johan Trygg
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I have compiled a few obvious differences between PLS2 and canonical correlation below . In addition, I also describe their relation to a recent development of the OPLS method called O2PLS.
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Chemometrics in Metabonomics and Metabolomics |
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Written by Johan Trygg, Umeå University & Torbjörn Lundstedt, AcurePharma
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In the post-genomics era, the use of methodologies that enable transcriptomic,proteomic and metabolomic data to be analysed in detail have revolutionized biological investigations. One of the major advantages with metabolomics investigations compared to traditional target metabolite analysis is that metabolomics data can give an unbiased view of changes in metabolism during environmental,genetic or developmental changes. Instead of tracking only a few metabolites, changes in relative amounts in 300 to 1000 or even more metabolites can be recorded and analysed, covering all major metabolic pathways.
This development has accentuated the need to apply and further develop chemometric methodology. |
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Can we use the regression coefficient profile for selecting PLS components? |
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Written by Johan Trygg
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The linear model y=Xb + f is often used in chemometrics. Unfortunately, we have put too much emphasis on the importance of the regression coefficient profile b, and mistakenly assumed or believed that it should be a good estimate of the "pure profile". This is not true, and I will argue why in later editorials. But this time, I want to address an earlier question that was posed in relation to the regression coefficient profile.
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