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multivariate exploratory data analysis (meda) toolbox  (MathWorks Inc)


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    MathWorks Inc multivariate exploratory data analysis (meda) toolbox
    <t>Multivariate</t> Exploratory Data Analysis <t>(MEDA)</t> 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.
    Multivariate Exploratory Data Analysis (Meda) Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/multivariate exploratory data analysis (meda) toolbox/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    multivariate exploratory data analysis (meda) toolbox - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "A Multi-Omics Approach Reveals New Signatures in Obese Allergic Asthmatic Children"

    Article Title: A Multi-Omics Approach Reveals New Signatures in Obese Allergic Asthmatic Children

    Journal: Biomedicines

    doi: 10.3390/biomedicines8090359

    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.
    Figure Legend 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.

    Techniques Used: Nuclear Magnetic Resonance, Gas Chromatography, Enzyme-linked Immunosorbent Assay, Luminex



    Similar Products

    multivariate exploratory data analysis (meda) toolbox  (MathWorks Inc)
    90
    MathWorks Inc multivariate exploratory data analysis (meda) toolbox
    <t>Multivariate</t> Exploratory Data Analysis <t>(MEDA)</t> 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.
    Multivariate Exploratory Data Analysis (Meda) Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/multivariate exploratory data analysis (meda) toolbox/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    multivariate exploratory data analysis (meda) toolbox - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    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.

    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