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Data sets in metabonomics or metabolic profiling experiments are becoming increasingly complex, which is hard to analyze without appropriate methods. The use of chemometric tools, such as orthogonal signal correction (OSC), principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), (orthogonal partial least squares discriminant analysis (OPLS-DA) make the data dimension...
Data sets in metabonomics or metabolic profiling experiments are always multidimensional, which brings some difficulties to metabonomics reaearchers. Generally, chemometric tools, such as orthogonal signal correction (OSC), principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), (orthogonal partial least squares discriminant analysis (OPLS-DA) are introduced to the...
Data sets resulting from metabonomics or metabolic profiling experiments are becoming increasingly complex, which is hard to summarize and virsualize without appropriate tools. The use of chemometric tools, such as OSC, PCA, PLS-DA, OPLS-DA make the data dimension and interpretation much easier. Here we showed a system method based on PCA, OSC-PLS-DA for metabonomic data analysis; Furthermore, S-plot,...
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