Multivariate Analysis of Hit Lists from Spectral Searches

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Multivariate Analysis of Hit Lists from Spectral Searches

05 May, 2006

Published over 20 years ago. See the latest and most current information on IT solutions.

Gregory M. Banik, Ph.D. and Marie Scandone, Bio-Rad Laboratories, Inc.
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Principal Component Analysis (PCA) is a well-established technique in chemometrics for performing multivariate analyses on spectral and chromatographic data to simplify and clarify the massive amount of data that can result from a typical experiment. The application of this technique has covered many fields such as the evaluation of quality control spectra or characterising control versus treated samples in a metabolomics experiment. However, the use of PCA to analyse and visualise spectral hit lists generated from searching one or more reference databases is not well known. This technical note describes an example of the successful use of PCA to analyse a query and the hit list resulting from an IR spectral search.

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