02910nam a22003614u 450000100220000000300060002200500170002800700150004500800410006002000300010102400310013104100080016210000300017024500960020025000060029626000160030226400160031830000120033433600260034633700260037233800360039834700210043434700080045552014250046365000330188865000430192165000180196465302220198277600360220485600640224085601020230485601420240610.1002/9781119639398Wiley20251030120315.0cr nn 008mam|a240626t2024||||xxu    fs|   |0|| 0|eng||  a9781119639398qelectronic7 a10.1002/97811196393982doi  aeng1 aBrereton, Richard G.4aut10aData Analysis and Chemometrics for Metabolomicsh[electronic resource]cRichard G. Brereton  a1  bWileyc2024 1bWileyc2024  a432pp.;  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext file2rdaft  bPDF  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. 4aChemometrics & Data Handling 4aBioinformatics & Computational Biology 4aBiostatistics00aMetabolites; metabolomic data; data analysis; statistical analysis; multivariate analysis; pattern recognition; experimental design; analytical instrumentation; clinical metabolism; plant metabolism; animal metabolism08iPrinted edition:z978111963938140uhttps://doi.org/10.1002/9781119639398aWiley Online Library40uhttps://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119639398aWiley Online Library423Cover Imageuhttps://onlinelibrary.wiley.com/cms/asset/6552adc5-9e93-41b4-afe6-7353e11fb343/9781119639398.cover.gifaWiley Online Library