| 000 | 03013nam a22003854u 4500 | ||
|---|---|---|---|
| 001 | 10.1002/9781119639398 | ||
| 003 | Wiley | ||
| 005 | 20251030120315.0 | ||
| 007 | cr nn 008mam|a | ||
| 008 | 240626t2024||||xxu fs| |0|| 0|eng|| | ||
| 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 _uhttps://onlinelibrary.wiley.com/cms/asset/6552adc5-9e93-41b4-afe6-7353e11fb343/9781119639398.cover.gif _aWiley Online Library |
| 999 |
_c67176 _d67176 |
||