Probabilistic latent variable models for metabolomic data.
Fits probabilistic principal components analysis (PPCA), probabilistic principal components and covariates analysis (PPCCA) and mixtures of probabilistic principal component analysis (MPPCA) models to metabolomic spectral data. Estimates of the uncertainty associated with the model parameter estimates are provided. 1.1
package
| Package: | MetabolAnalyze |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2010-05-12 |
| License: | GPL-2 |
| LazyLoad: | yes |
Nyamundanda Gift, Isobel Claire Gormley and Lorraine Brennan.
Claire Gormley [email protected]
Nyamundanda, G., Gormley, I.C. and Brennan, L. (2010) Probabilistic principal components analysis for metabolomic data. Technical Report. University College Dublin.
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