Multivariate data integration using R : methods and applications with the mixOmics package /

LeCao, Kim-Anh,

Multivariate data integration using R : methods and applications with the mixOmics package / Kim-Anh LeCao, Zoe Marie Welham. - 1st - FL : CRC Press, c2022. - 1 online resource : illustrations (colour). - Chapman & Hall/CRC computational biology series .

Academic

I Modern biology and multivariate analysis 1. Multi-omics and biological systems; 2. The cycle of analysis; 3. Key multivariate concepts and dimension reduction in mixOmics; 4. Choose the right method for the right question in mixOmics II mixOmics under the hood 5. Projection to Latent Structures; 6. Visualisation for data integration; 7. Performance assessment in multivariate analyses III mixOmics in action 8. mixOmics: get started; 9. Principal Component Analysis (PCA); 10. 10 Projection to Latent Structure (PLS); 11. Canonical Correlation Analysis (CCA); 12. PLS - Discriminant Analysis (PLS-DA); 13. N − data integration; 14. P − data integration; 15. (APPENDIX) Glossary of Terms

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9781000472264 (ePub ebook) : £74.99 £74.99 9781000472196 (PDF ebook) : £74.99 9781003026860 (ebook) : £74.99

10.1201/9781003026860 doi

9781000472264 Ingram Content Group

GBC1F8958 bnb


Biometry.
Multivariate analysis.
R (Computer program language)

570.151 / LE

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