Belgium
Review Article
Independent Component Analysis and Statistical Modelling for the
Identification of Metabolomics Biomarkers in 1H-NMR Spectroscopy
Author(s): Baptiste Féraud, Réjane Rousseau, Pascal de Tullio, Michel Verleysen and Bernadette GovaertsBaptiste Féraud, Réjane Rousseau, Pascal de Tullio, Michel Verleysen and Bernadette Govaerts
In order to maintain life, living organism’s product and transform small molecules called metabolites. Metabolomics aims at studying the development of biological reactions resulting from a contact with a physio-pathological stimulus, through these metabolites. The 1H-NMR spectroscopy is widely used to graphically describe a metabolite composition via spectra. Biologists can then confirm or invalidate the development of a biological reaction if specific NMR spectral regions are altered from a given physiological situation to another. However, this pro-cess supposes a preliminary identification step which traditionally consists in the study of the two first components of a Principal Component Analysis (PCA). This paper presents a new methodology in two main steps providing knowledge on specific 1H-NMR spectral areas via the identification of biomarkers and via the visualization o.. Read More»
DOI:
10.4172/2155-6180.1000367
Journal of Biometrics & Biostatistics received 3254 citations as per Google Scholar report