Probabilistic principal component analysis for metabolomic data

@inproceedings{Nyamundanda2010ProbabilisticPC,
  title={Probabilistic principal component analysis for metabolomic data},
  author={Gift Nyamundanda and Lorraine Brennan and Isobel Claire Gormley},
  booktitle={BMC Bioinformatics},
  year={2010}
}
BackgroundData from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique for analyzing metabolomic data. However, PCA is limited by the fact that it is not based on a statistical model.ResultsHere, probabilistic principal component analysis (PPCA) which addresses some of the limitations of PCA, is reviewed and extended. A novel extension of PPCA, called probabilistic principal component and… CONTINUE READING
BETA

Similar Papers

Citations

Publications citing this paper.
SHOWING 1-10 OF 36 CITATIONS

Biochemical changes in animal models of fetal alcohol spectrum disorder

VIEW 11 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Early pregnancy maternal urinary metabolomic profile and later insulin resistance and fetal adiposity.

  • The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
  • 2015
VIEW 8 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Pathological Brain Detection

  • Brain Informatics and Health
  • 2018
VIEW 5 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Use of metabotyping for optimal nutrition.

  • Current opinion in biotechnology
  • 2017
VIEW 3 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Dimensionality Reduction and Generation of Human Motion

  • 2013
VIEW 3 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

References

Publications referenced by this paper.
SHOWING 1-10 OF 34 REFERENCES

Metabonomics based on NMR spectroscopy

NV Reo
  • Drug and Chemical Toxicology
  • 2002
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

Probabilistic latent variable models for metabolomic data 2010, [R package version 1.0

G Nyamundanda, IC Gormley, L MetabolAnalyze.Brennan
  • 2010
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL