Multivariate data integration using R : methods and applications with the mixOmics package / Kim-Anh LeCao, Zoe Marie Welham.
Material type: TextSeries: Chapman & Hall/CRC computational biology seriesPublication details: FL : CRC Press, c2022.Edition: 1stDescription: 1 online resource : illustrations (colour)ISBN:- 9781000472264 (ePub ebook) :
- 9781000472196 (PDF ebook) :
- 9781003026860 (ebook) :
- 570.151 23 LE
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
General Books | CUTN Central Library Sciences | Non-fiction | 570.151 LE (Browse shelf(Opens below)) | Available | 47285 |
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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