Data Preprocessing for Chemometric and Metabonomic Analysis
The best preprocessing methods will be the ones that ultimately produce a robust model with the most accurate predictive ability. Unfortunately, there are no straightforward rules to guide investigators to the best selection of preprocessing options; the subsequent trial and error optimization process may be quite time consuming and confusing. However, spending little or no time investigating preprocessing options is likely to result in less than optimal results.
The primary objective of this book is to present an outline of the major options available for chemometric / metabonomic data analysis, with an emphasis on the advantages and disadvantages of the techniques discussed.
The Appendices contain an extensive list of publicly available software that allows readers to perform many of the calculations described in this book.
The book has about 414 pages.
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ISBN: 9781926825618Soft cover (published July 30, 2010)
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