Probabilistic principal component analysis for metabolomic data
Probabilistic principal component analysis for metabolomic data
About this item
Full title
Author / Creator
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
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.
Here, probabilistic principal component analysis (PPCA) which address...
Alternative Titles
Full title
Probabilistic principal component analysis for metabolomic data
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_be43eff2c70a48b6b87b96e3c34e53f1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_be43eff2c70a48b6b87b96e3c34e53f1
Other Identifiers
ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/1471-2105-11-571
