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pca scoring plots  (MathWorks Inc)


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    MathWorks Inc pca scoring plots
    Pca Scoring Plots, 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/pca scoring plots/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    pca scoring plots - by Bioz Stars, 2026-06
    90/100 stars

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    Image Search Results


    Multivariate statistical analysis of metabolites identified from Sanhe dairy cattle with 1–4 parities. ( A ) Principal component analysis (PCA) score plot of serum samples from S1 to S4 based on untargeted metabolomics. ( B ) PCA score plot of milk samples from S1 to S4 based on untargeted metabolomics. The abscissa PC1 = first principal component and the ordinate PC2 = second principal component.

    Journal: Metabolites

    Article Title: Combined Metabolomics and Biochemical Analyses of Serum and Milk Revealed Parity-Related Metabolic Differences in Sanhe Dairy Cattle

    doi: 10.3390/metabo14040227

    Figure Lengend Snippet: Multivariate statistical analysis of metabolites identified from Sanhe dairy cattle with 1–4 parities. ( A ) Principal component analysis (PCA) score plot of serum samples from S1 to S4 based on untargeted metabolomics. ( B ) PCA score plot of milk samples from S1 to S4 based on untargeted metabolomics. The abscissa PC1 = first principal component and the ordinate PC2 = second principal component.

    Article Snippet: The PCA score plots ( A) of the serum samples from Sanhe dairy cattle revealed distribution between the four parities.

    Techniques:

    One−carbon metabolite profiling in biofluids and milk formula. One-carbon metabolite concentrations were measured in breast milk (purple, n = 142), cord blood plasma (red, n = 23), maternal plasma (green, n = 28), aging adult plasma (blue, n = 91), CSF (orange, n = 92), and milk formula ( n = 11). ( A ) PCA score plot based on metabolite concentrations in the different biofluids; shaded areas show 95% confidence regions. ( B ) Boxplot of SAM concentration in biofluids and milk formula relative to the median values for the maternal plasma samples shown with logarithmic Y-axis. Kruskal–Wallis test with post hoc Dunn method was applied; groups not connected by the same letter show statistical differences ( p < 0.05). CHO, choline; BET, betaine; MET, methionine, SAM, S-adenosylmethionine; SAH, S-adenosylhomocysteine; CYS, cystathionine; tHCY, total homocysteine; CSF, cerebrospinal fluid; N.D., not detected.

    Journal: Nutrients

    Article Title: Revisiting One-Carbon Metabolites in Human Breast Milk: Focus on S-Adenosylmethionine

    doi: 10.3390/nu15020282

    Figure Lengend Snippet: One−carbon metabolite profiling in biofluids and milk formula. One-carbon metabolite concentrations were measured in breast milk (purple, n = 142), cord blood plasma (red, n = 23), maternal plasma (green, n = 28), aging adult plasma (blue, n = 91), CSF (orange, n = 92), and milk formula ( n = 11). ( A ) PCA score plot based on metabolite concentrations in the different biofluids; shaded areas show 95% confidence regions. ( B ) Boxplot of SAM concentration in biofluids and milk formula relative to the median values for the maternal plasma samples shown with logarithmic Y-axis. Kruskal–Wallis test with post hoc Dunn method was applied; groups not connected by the same letter show statistical differences ( p < 0.05). CHO, choline; BET, betaine; MET, methionine, SAM, S-adenosylmethionine; SAH, S-adenosylhomocysteine; CYS, cystathionine; tHCY, total homocysteine; CSF, cerebrospinal fluid; N.D., not detected.

    Article Snippet: The PCA score plot based on the seven metabolites analyzed showed a clear separation of milk samples from other biofluids, with the different types of plasma samples (cord blood, maternal, and healthy aging adult plasma) clustering together ( A).

    Techniques: Clinical Proteomics, Concentration Assay