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pls toolbox 6.7.1 statistical multivariate analysis library  (Eigenvector Research Inc)

 
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    Structured Review

    Eigenvector Research Inc pls toolbox 6.7.1 statistical multivariate analysis library
    A. Unsupervised hierarchical clustering of GBMs (horizontal dimension) and 102 miRNAs (vertical dimension) derived from a variance analysis. Over-expressed genes are represented in red and under-expressed ones in blue. B. The projection to latent structures discriminant analysis <t>(PLS-DA)</t> score scatter plot of the first 2 components. This PLSDA analysis discriminates the differences between GBM with high-level of EGFR amplification (n = 13) versus GBM non-amplified EGFR (n = 10). The symbols correspond as follows: red triangle, GMB with high level of amplified EGFR samples; blue square, non-amplified EGFR samples; green circle, samples with a low level of EFGR amplification.
    Pls Toolbox 6.7.1 Statistical Multivariate Analysis Library, supplied by Eigenvector Research 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/pls toolbox 6.7.1 statistical multivariate analysis library/product/Eigenvector Research Inc
    Average 90 stars, based on 1 article reviews
    pls toolbox 6.7.1 statistical multivariate analysis library - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Correlation between EGFR Amplification and the Expression of MicroRNA-200c in Primary Glioblastoma Multiforme"

    Article Title: Correlation between EGFR Amplification and the Expression of MicroRNA-200c in Primary Glioblastoma Multiforme

    Journal: PLoS ONE

    doi: 10.1371/journal.pone.0102927

    A. Unsupervised hierarchical clustering of GBMs (horizontal dimension) and 102 miRNAs (vertical dimension) derived from a variance analysis. Over-expressed genes are represented in red and under-expressed ones in blue. B. The projection to latent structures discriminant analysis (PLS-DA) score scatter plot of the first 2 components. This PLSDA analysis discriminates the differences between GBM with high-level of EGFR amplification (n = 13) versus GBM non-amplified EGFR (n = 10). The symbols correspond as follows: red triangle, GMB with high level of amplified EGFR samples; blue square, non-amplified EGFR samples; green circle, samples with a low level of EFGR amplification.
    Figure Legend Snippet: A. Unsupervised hierarchical clustering of GBMs (horizontal dimension) and 102 miRNAs (vertical dimension) derived from a variance analysis. Over-expressed genes are represented in red and under-expressed ones in blue. B. The projection to latent structures discriminant analysis (PLS-DA) score scatter plot of the first 2 components. This PLSDA analysis discriminates the differences between GBM with high-level of EGFR amplification (n = 13) versus GBM non-amplified EGFR (n = 10). The symbols correspond as follows: red triangle, GMB with high level of amplified EGFR samples; blue square, non-amplified EGFR samples; green circle, samples with a low level of EFGR amplification.

    Techniques Used: Derivative Assay, Amplification



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    Eigenvector Research Inc pls toolbox 6.7.1 statistical multivariate analysis library
    A. Unsupervised hierarchical clustering of GBMs (horizontal dimension) and 102 miRNAs (vertical dimension) derived from a variance analysis. Over-expressed genes are represented in red and under-expressed ones in blue. B. The projection to latent structures discriminant analysis <t>(PLS-DA)</t> score scatter plot of the first 2 components. This PLSDA analysis discriminates the differences between GBM with high-level of EGFR amplification (n = 13) versus GBM non-amplified EGFR (n = 10). The symbols correspond as follows: red triangle, GMB with high level of amplified EGFR samples; blue square, non-amplified EGFR samples; green circle, samples with a low level of EFGR amplification.
    Pls Toolbox 6.7.1 Statistical Multivariate Analysis Library, supplied by Eigenvector Research 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/pls toolbox 6.7.1 statistical multivariate analysis library/product/Eigenvector Research Inc
    Average 90 stars, based on 1 article reviews
    pls toolbox 6.7.1 statistical multivariate analysis library - by Bioz Stars, 2026-03
    90/100 stars
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    A. Unsupervised hierarchical clustering of GBMs (horizontal dimension) and 102 miRNAs (vertical dimension) derived from a variance analysis. Over-expressed genes are represented in red and under-expressed ones in blue. B. The projection to latent structures discriminant analysis (PLS-DA) score scatter plot of the first 2 components. This PLSDA analysis discriminates the differences between GBM with high-level of EGFR amplification (n = 13) versus GBM non-amplified EGFR (n = 10). The symbols correspond as follows: red triangle, GMB with high level of amplified EGFR samples; blue square, non-amplified EGFR samples; green circle, samples with a low level of EFGR amplification.

    Journal: PLoS ONE

    Article Title: Correlation between EGFR Amplification and the Expression of MicroRNA-200c in Primary Glioblastoma Multiforme

    doi: 10.1371/journal.pone.0102927

    Figure Lengend Snippet: A. Unsupervised hierarchical clustering of GBMs (horizontal dimension) and 102 miRNAs (vertical dimension) derived from a variance analysis. Over-expressed genes are represented in red and under-expressed ones in blue. B. The projection to latent structures discriminant analysis (PLS-DA) score scatter plot of the first 2 components. This PLSDA analysis discriminates the differences between GBM with high-level of EGFR amplification (n = 13) versus GBM non-amplified EGFR (n = 10). The symbols correspond as follows: red triangle, GMB with high level of amplified EGFR samples; blue square, non-amplified EGFR samples; green circle, samples with a low level of EFGR amplification.

    Article Snippet: Discriminant analysis was performed using the PLS Toolbox 6.7.1 statistical multivariate analysis library (Eigenvector Research, Inc. USA) in the Matlab R2008a environment (MathWorks, Inc., USA).

    Techniques: Derivative Assay, Amplification