Benutzer: Gast  Login
Autor(en):
Krumsiek, J.; Suhre, K.; Illig, T.; Adamski, J.; Theis, F. J. 
Titel:
Bayesian independent component analysis recovers pathway signatures from blood metabolomics data 
Abstract:
Interpreting the complex interplay of metabolites in heterogeneous biosamples still poses a challenging task. In this study, we propose independent component analysis (ICA) as a multivariate analysis tool for the interpretation of large-scale metabolomics data. In particular, we employ a Bayesian ICA method based on a mean-field approach, which allows us to statistically infer the number of independent components to be reconstructed. The advantage of ICA over correlation-based methods like princ...    »
 
Stichworte:
metabolomics independent component analysis Bayesian systems biology bioinformatics blood serum population cohorts 
Zeitschriftentitel:
J. Proteome Res. 
Jahr:
2012 
Band / Volume:
11 
Heft / Issue:
Seitenangaben Beitrag:
4120-4131