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pca-based biplot  (RStudio)

 
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    RStudio pca-based biplot
    Pca Based Biplot, supplied by RStudio, 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/product/pca+biplots/pm39810105-525-3-11?v=RStudio
    Average 90 stars, based on 1 article reviews
    pca-based biplot - by Bioz Stars, 2026-07
    90/100 stars

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    Biplot of the PCA of seed morphological traits in Medicago spp. PC1 and PC2 are displayed, representing the two principal components that explain 81% of the variance in the data.

    Journal: Scientific Reports

    Article Title: Analyzing Medicago spp. seed morphology using GWAS and machine learning

    doi: 10.1038/s41598-024-67790-4

    Figure Lengend Snippet: Biplot of the PCA of seed morphological traits in Medicago spp. PC1 and PC2 are displayed, representing the two principal components that explain 81% of the variance in the data.

    Article Snippet: Figure 4 Scatter plots, histograms, and heatmaps reveal correlations among seed morphology traits based on Pearson’s r. Figure 5 Biplot of the PCA of seed morphological traits in Medicago spp.

    Techniques:

    PCA-biplots of principal component 1 (Dim1) and principal component 2 (Dim2) including both observations (experimental groups) and loadings (metabolites classes) of leaf samples. (A) Observations were shown as cultivars (GIA, Giarraffa; LEC, Leccino; MAU, Maurino); (B) Observations were shown as treatments (ctrl, control; ds, drought stressed).

    Journal: Frontiers in Plant Science

    Article Title: Comparative metabolomics of leaves and stems of three Italian olive cultivars under drought stress

    doi: 10.3389/fpls.2024.1408731

    Figure Lengend Snippet: PCA-biplots of principal component 1 (Dim1) and principal component 2 (Dim2) including both observations (experimental groups) and loadings (metabolites classes) of leaf samples. (A) Observations were shown as cultivars (GIA, Giarraffa; LEC, Leccino; MAU, Maurino); (B) Observations were shown as treatments (ctrl, control; ds, drought stressed).

    Article Snippet: The Principal Component Analysis (PCA) biplots were realized with Rstudio (ver.

    Techniques: Control

    PCA-biplots of principal component 1 (Dim1) and principal component 2 (Dim2) including both observations (experimental groups) and loadings (metabolites classes) of stem samples. (A) Observations were shown as cultivars (GIA, Giarraffa; LEC, Leccino; MAU, Maurino); (B) Observations were shown as treatments (ctrl, control; ds, drought stressed).

    Journal: Frontiers in Plant Science

    Article Title: Comparative metabolomics of leaves and stems of three Italian olive cultivars under drought stress

    doi: 10.3389/fpls.2024.1408731

    Figure Lengend Snippet: PCA-biplots of principal component 1 (Dim1) and principal component 2 (Dim2) including both observations (experimental groups) and loadings (metabolites classes) of stem samples. (A) Observations were shown as cultivars (GIA, Giarraffa; LEC, Leccino; MAU, Maurino); (B) Observations were shown as treatments (ctrl, control; ds, drought stressed).

    Article Snippet: The Principal Component Analysis (PCA) biplots were realized with Rstudio (ver.

    Techniques: Control