Journal: Biomedicines
Article Title: A Multi-Omics Approach Reveals New Signatures in Obese Allergic Asthmatic Children
doi: 10.3390/biomedicines8090359
Figure Lengend Snippet: Multivariate Exploratory Data Analysis (MEDA) correlation map. MEDA technique of the predictive correlations was performed . Green lines represent the divisions between the response and the different datasets. Biochem: Biochemical data; Hemogram: hemogram data; Feces: Lactic D and L acid; NMR: nuclear magnetic resonance data (noesy and cpmg data); GC: gas-chromatography short-chain fatty acids data; Metagen: metagenomics data; ELISA: Elisa and luminex data.
Article Snippet: To perform a system biology approach we used the Multivariate Exploratory Data Analysis (MEDA) Toolbox in Matlab ( https://github.com/josecamachop/MEDA-Toolbox ).
Techniques: Nuclear Magnetic Resonance, Gas Chromatography, Enzyme-linked Immunosorbent Assay, Luminex