MetabolAnalyze-package: Probabilistic latent variable models for metabolomic data.

In MetabolAnalyze: Probabilistic Latent Variable Models for Metabolomic Data

Description

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.

Details

Package:	MetabolAnalyze
Type:	Package
Version:	1.0
Date:	2010-05-12
License:	GPL-2
LazyLoad:	yes

Author(s)

Nyamundanda Gift, Isobel Claire Gormley and Lorraine Brennan.

Claire Gormley <[e-mail]>

References

Nyamundanda, G., Gormley, I.C. and Brennan, L. (2010) Probabilistic principal components analysis for metabolomic data. Technical Report. University College Dublin.

MetabolAnalyze documentation built on Aug. 31, 2019, 5:05 p.m.