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orthogonal projection to latent structures discriminant analysis (opls-da)  (MetWare Ltd)

 
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    MetWare Ltd orthogonal projection to latent structures discriminant analysis (opls-da)
    Identify different varieties of biomarker probes. ( A ) <t>Orthogonal</t> projections to latent structures discriminant analysis (OPLS-DA) of different wampee fruit tissues. ( B ) Permutations plot of the OPLS-DA model for the binary grouping. ( C ) Radar chart of six selected biomarkers from different categories.
    Orthogonal Projection To Latent Structures Discriminant Analysis (Opls Da), supplied by MetWare Ltd, 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/orthogonal+projection+to+latent+structures+discriminant+analysis+%28opls-da%29/pmc11475070-83-0-12?v=MetWare+Ltd
    Average 90 stars, based on 1 article reviews
    orthogonal projection to latent structures discriminant analysis (opls-da) - by Bioz Stars, 2026-08
    90/100 stars

    Images

    1) Product Images from "Insights into Tissue-Specific Specialized Metabolism in Wampee ( Clausena lansium (Lour.) Skeels) Varieties"

    Article Title: Insights into Tissue-Specific Specialized Metabolism in Wampee ( Clausena lansium (Lour.) Skeels) Varieties

    Journal: Foods

    doi: 10.3390/foods13193092

    Identify different varieties of biomarker probes. ( A ) Orthogonal projections to latent structures discriminant analysis (OPLS-DA) of different wampee fruit tissues. ( B ) Permutations plot of the OPLS-DA model for the binary grouping. ( C ) Radar chart of six selected biomarkers from different categories.
    Figure Legend Snippet: Identify different varieties of biomarker probes. ( A ) Orthogonal projections to latent structures discriminant analysis (OPLS-DA) of different wampee fruit tissues. ( B ) Permutations plot of the OPLS-DA model for the binary grouping. ( C ) Radar chart of six selected biomarkers from different categories.

    Techniques Used: Biomarker Discovery



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    Image Search Results


    Identify different varieties of biomarker probes. ( A ) Orthogonal projections to latent structures discriminant analysis (OPLS-DA) of different wampee fruit tissues. ( B ) Permutations plot of the OPLS-DA model for the binary grouping. ( C ) Radar chart of six selected biomarkers from different categories.

    Journal: Foods

    Article Title: Insights into Tissue-Specific Specialized Metabolism in Wampee ( Clausena lansium (Lour.) Skeels) Varieties

    doi: 10.3390/foods13193092

    Figure Lengend Snippet: Identify different varieties of biomarker probes. ( A ) Orthogonal projections to latent structures discriminant analysis (OPLS-DA) of different wampee fruit tissues. ( B ) Permutations plot of the OPLS-DA model for the binary grouping. ( C ) Radar chart of six selected biomarkers from different categories.

    Article Snippet: Orthogonal Projection to Latent Structures Discriminant Analysis (OPLS-DA) was conducted using the Metware Cloud, a free online platform for data analysis ( https://cloud.metware.cn/#/home (accessed on 27 June 2024)).

    Techniques: Biomarker Discovery

    Supervised orthogonal projections to latent structures discriminant analysis (OPLS-DA) score plot of P. brachiate ( a ) and P. nidrigeensis ( b ) built according to the phenolics compounds in different extraction solvents. In the legends are reported the extraction solvents—dichloromethane (DCM), ethyl acetate (EA), ethanol (EtOH), water, and n-hexane.

    Journal: Plants

    Article Title: Metabolomic Profiles and Biopharmaceutical Properties of Petrosimonia brachiata and P. nigdeensis from Turkey

    doi: 10.3390/plants13152073

    Figure Lengend Snippet: Supervised orthogonal projections to latent structures discriminant analysis (OPLS-DA) score plot of P. brachiate ( a ) and P. nidrigeensis ( b ) built according to the phenolics compounds in different extraction solvents. In the legends are reported the extraction solvents—dichloromethane (DCM), ethyl acetate (EA), ethanol (EtOH), water, and n-hexane.

    Article Snippet: The resulting dataset was investigated through both unsupervised hierarchical cluster analysis (HCA) and supervised Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA; SIMCA 16, Umetrics, Malmo, Sweden) approaches.

    Techniques: Extraction