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001 10.1002/9781119639398
003 Wiley
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020 _a9781119639398
_qelectronic
024 7 _a10.1002/9781119639398
_2doi
041 _aeng
100 1 _aBrereton, Richard G.
_4aut
_929466
245 1 0 _aData Analysis and Chemometrics for Metabolomics
_h[electronic resource]
_cRichard G. Brereton
250 _a1
260 _bWiley
_c2024
264 1 _bWiley
_c2024
300 _a432pp.;
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_2rdaft
347 _bPDF
520 _aUnderstand new modes of analysing metabolomic data Metabolomics is the study of metabolites, small molecules and chemical substrates within cells or larger structures which collectively make up the metabolome. The field of metabolomics stands to benefit enormously from chemometrics, an approach which brings advanced statistical techniques to bear on data of this kind. Data Analysis and Chemometrics for Metabolomics constitutes an accessible introduction to chemometric techniques and their applications in the field of metabolomics. Thoroughly and accessibly written by a leading expert in chemometrics, and printed in full-colour, it brings robust data analysis into conversation with the metabolomic field to the immense benefit of practitioners. Data Analysis and Chemometrics for Metabolomics readers will also find: Statistical insights into the nature of metabolomic hypothesis testing, validation, and more All metabolomics data sets from the book on a companion website Case studies from human, animal, plant and bacterial biology Data Analysis and Chemometrics for Metabolomics is ideal for practitioners in the life sciences, clinical sciences and chemistry, as well as metabolomics researchers or developers of research instruments looking to apply cutting-edge analytical techniques, and statisticians developing methods to design experiments and analyse large datasets of clinical and biological origin.
650 4 _aChemometrics & Data Handling
_991795
650 4 _aBioinformatics & Computational Biology
_991990
650 4 _aBiostatistics
_965985
653 0 0 _aMetabolites; metabolomic data; data analysis; statistical analysis; multivariate analysis; pattern recognition; experimental design; analytical instrumentation; clinical metabolism; plant metabolism; animal metabolism
776 0 8 _iPrinted edition:
_z9781119639381
856 4 0 _uhttps://doi.org/10.1002/9781119639398
_aWiley Online Library
856 4 0 _uhttps://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119639398
_aWiley Online Library
856 4 2 _3Cover Image
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_aWiley Online Library
999 _c67176
_d67176