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pls toolbox 8.0  (Eigenvector Research Inc)

 
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    Eigenvector Research Inc pls toolbox 8.0
    Discrimination between wheat leaves with Rhopalosiphum padi (Rp), Sitobion avenae (Sa) and controls with no aphids. PLSDA (top), ROC curves (middle) and VIP scores versus regression vectors (bottom) from PLSDA. ( A ) control vs. Rp; ( B ) control vs. Sa; ( C ) Rp vs. Sa; and ( D ) control vs. (Rp + Sa). Blue lines represent estimated PLSDA ROC curves (calibration set); green lines represent estimated PLSDA ROC curves (cross-validation); dashed lines represent 50% lines; and circles indicate model thresholds. PLSDA, <t>partial</t> <t>least</t> <t>square</t> discriminant analysis; ROC, receiver operating characteristic; VIP, variable importance in projection.
    Pls Toolbox 8.0, 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/product/pls+toolbox+8%2E0/pmc10221955-196-15-18?v=Eigenvector+Research+Inc
    Average 90 stars, based on 1 article reviews
    pls toolbox 8.0 - by Bioz Stars, 2026-07
    90/100 stars

    Images

    1) Product Images from "Wheat Oxylipins in Response to Aphids, CO 2 and Nitrogen Regimes"

    Article Title: Wheat Oxylipins in Response to Aphids, CO 2 and Nitrogen Regimes

    Journal: Molecules

    doi: 10.3390/molecules28104133

    Discrimination between wheat leaves with Rhopalosiphum padi (Rp), Sitobion avenae (Sa) and controls with no aphids. PLSDA (top), ROC curves (middle) and VIP scores versus regression vectors (bottom) from PLSDA. ( A ) control vs. Rp; ( B ) control vs. Sa; ( C ) Rp vs. Sa; and ( D ) control vs. (Rp + Sa). Blue lines represent estimated PLSDA ROC curves (calibration set); green lines represent estimated PLSDA ROC curves (cross-validation); dashed lines represent 50% lines; and circles indicate model thresholds. PLSDA, partial least square discriminant analysis; ROC, receiver operating characteristic; VIP, variable importance in projection.
    Figure Legend Snippet: Discrimination between wheat leaves with Rhopalosiphum padi (Rp), Sitobion avenae (Sa) and controls with no aphids. PLSDA (top), ROC curves (middle) and VIP scores versus regression vectors (bottom) from PLSDA. ( A ) control vs. Rp; ( B ) control vs. Sa; ( C ) Rp vs. Sa; and ( D ) control vs. (Rp + Sa). Blue lines represent estimated PLSDA ROC curves (calibration set); green lines represent estimated PLSDA ROC curves (cross-validation); dashed lines represent 50% lines; and circles indicate model thresholds. PLSDA, partial least square discriminant analysis; ROC, receiver operating characteristic; VIP, variable importance in projection.

    Techniques Used: Control, Biomarker Discovery



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    Image Search Results


    Discrimination between wheat leaves with Rhopalosiphum padi (Rp), Sitobion avenae (Sa) and controls with no aphids. PLSDA (top), ROC curves (middle) and VIP scores versus regression vectors (bottom) from PLSDA. ( A ) control vs. Rp; ( B ) control vs. Sa; ( C ) Rp vs. Sa; and ( D ) control vs. (Rp + Sa). Blue lines represent estimated PLSDA ROC curves (calibration set); green lines represent estimated PLSDA ROC curves (cross-validation); dashed lines represent 50% lines; and circles indicate model thresholds. PLSDA, partial least square discriminant analysis; ROC, receiver operating characteristic; VIP, variable importance in projection.

    Journal: Molecules

    Article Title: Wheat Oxylipins in Response to Aphids, CO 2 and Nitrogen Regimes

    doi: 10.3390/molecules28104133

    Figure Lengend Snippet: Discrimination between wheat leaves with Rhopalosiphum padi (Rp), Sitobion avenae (Sa) and controls with no aphids. PLSDA (top), ROC curves (middle) and VIP scores versus regression vectors (bottom) from PLSDA. ( A ) control vs. Rp; ( B ) control vs. Sa; ( C ) Rp vs. Sa; and ( D ) control vs. (Rp + Sa). Blue lines represent estimated PLSDA ROC curves (calibration set); green lines represent estimated PLSDA ROC curves (cross-validation); dashed lines represent 50% lines; and circles indicate model thresholds. PLSDA, partial least square discriminant analysis; ROC, receiver operating characteristic; VIP, variable importance in projection.

    Article Snippet: Further data analysis was carried out in MATLAB R2019b (MathWorks, Inc., Natick, MA, USA), and PLS Toolbox 8.0 (Eigenvector Research, Inc., Wenatchee, WA, USA) was used for principal component analysis (PCA) and partial least square discriminant analysis (PLSDA) models of the autoscaled data.

    Techniques: Control, Biomarker Discovery