Probabilistic principal component analysis for metabolomic data

BACKGROUND: Data 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. RESULTS: H...

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Detalles Bibliográficos
Autores principales: Nyamundanda, Gift, Brennan, Lorraine, Gormley, Isobel Claire
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3006395/
https://www.ncbi.nlm.nih.gov/pubmed/21092268
http://dx.doi.org/10.1186/1471-2105-11-571

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3006395/
https://www.ncbi.nlm.nih.gov/pubmed/21092268
http://dx.doi.org/10.1186/1471-2105-11-571

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