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matlab corr function  (MathWorks Inc)


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    MathWorks Inc matlab corr function
    Matlab Corr Function, 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/product/matlab+corr+function/pm40550817-306-27-28
    Average 90 stars, based on 1 article reviews
    matlab corr function - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Iowa Brain-Behavior Modeling Toolkit: An Open-Source MATLAB Tool for Inferential and Predictive Modeling of Imaging-Behavior and Lesion-Deficit Relationships.
    Article Snippet: The toolkit includes the following mass- univariate modeling approaches: Pearson correlations (implemented using the MATLAB corr() function), t- tests (equal or unequal variances; implemented using the MATLAB ttest2() function), BrunnerMunzel tests (implemented using scripts hosted here: https:// github. com/ robis oe/ Brunn er- Munze l- test- for- matlab), ordinary least squares regressions and binary logistic regressions (implemented using the MATLAB fitglm() function), and proportional subtraction analyses.

    Article Title: Profiling drugs for rheumatoid arthritis that inhibit synovial fibroblast activation
    Article Snippet: For correlational analysis of inhibitor effects across contexts and donor samples, β coefficients that had been merged across experimental replicates were compiled across all donor samples and measured analytes. β coefficients were scaled ‘column–wise’ to a maximum absolute value of 1 for each column and pairwise Spearman (rank) correlation was calculated with the Matlab corr function and the “pairwise” option (to accommodate NaN entries).

    Article Title: Cholinergic basal forebrain neurons regulate vascular dynamics and cerebrospinal fluid flux.
    Article Snippet: The averaged BOLD signals from these cortical masks were extracted to calculate the BOLD-CSF coupling using cross-correlation (MATLAB xcorr function, maximum time lag: ±10 scans) and Pearson’s correlation (MATLAB corr function).

    Article Title: The Coastal Seafloor Microbiota Is Structured by Local Selection of Cosmopolitan Taxa.
    Article Snippet: For the statistical analyses, we used Spearman correlations as implemented in the Matlab corr function if two continuous FIGURE 9 | Distance decay patterns for MAGs. (A) Average distance decay for MAGs belonging to Clusters 1 and 2 within Cluster 1 sites, and (B) Cluster 2 sites. (C) Correlation between the log ratio (Cluster 2/Cluster 1) and distance decay for Cluster 1 sites and (D) Cluster 2 sites. nloaded from https://envirom icro-journals.onlinelibrary.w iley.com /doi/10.1111/1758-2229.70123 by N at Prov Indonesia, W iley O nline L ibrary on [22/06/2025].

    Article Title: Iowa Brain‐Behavior Modeling Toolkit: An Open‐Source MATLAB Tool for Inferential and Predictive Modeling of Imaging‐Behavior and Lesion‐Deficit Relationships
    Article Snippet: The toolkit includes the following mass‐univariate modeling approaches: Pearson correlations (implemented using the MATLAB corr() function), t ‐tests (equal or unequal variances; implemented using the MATLAB ttest2() function), Brunner‐Munzel tests (implemented using scripts hosted here: https://github.com/robisoe/Brunner‐Munzel‐test‐for‐matlab ), ordinary least squares regressions and binary logistic regressions (implemented using the MATLAB fitglm() function), and proportional subtraction analyses.

    Article Title: A neural mechanism for learning from delayed postingestive feedback
    Article Snippet: We then used the built-in Matlab corr function to calculate and visualize pairwise correlations among all brain regions (Extended Data Fig. ).

    Imaging:

    Article Title: Iowa Brain-Behavior Modeling Toolkit: An Open-Source MATLAB Tool for Inferential and Predictive Modeling of Imaging-Behavior and Lesion-Deficit Relationships.
    Article Snippet: The toolkit includes the following mass- univariate modeling approaches: Pearson correlations (implemented using the MATLAB corr() function), t- tests (equal or unequal variances; implemented using the MATLAB ttest2() function), BrunnerMunzel tests (implemented using scripts hosted here: https:// github. com/ robis oe/ Brunn er- Munze l- test- for- matlab), ordinary least squares regressions and binary logistic regressions (implemented using the MATLAB fitglm() function), and proportional subtraction analyses.

    Article Title: Profiling drugs for rheumatoid arthritis that inhibit synovial fibroblast activation
    Article Snippet: For correlational analysis of inhibitor effects across contexts and donor samples, β coefficients that had been merged across experimental replicates were compiled across all donor samples and measured analytes. β coefficients were scaled ‘column–wise’ to a maximum absolute value of 1 for each column and pairwise Spearman (rank) correlation was calculated with the Matlab corr function and the “pairwise” option (to accommodate NaN entries).

    Article Title: Cholinergic basal forebrain neurons regulate vascular dynamics and cerebrospinal fluid flux.
    Article Snippet: The averaged BOLD signals from these cortical masks were extracted to calculate the BOLD-CSF coupling using cross-correlation (MATLAB xcorr function, maximum time lag: ±10 scans) and Pearson’s correlation (MATLAB corr function).

    Article Title: The Coastal Seafloor Microbiota Is Structured by Local Selection of Cosmopolitan Taxa.
    Article Snippet: For the statistical analyses, we used Spearman correlations as implemented in the Matlab corr function if two continuous FIGURE 9 | Distance decay patterns for MAGs. (A) Average distance decay for MAGs belonging to Clusters 1 and 2 within Cluster 1 sites, and (B) Cluster 2 sites. (C) Correlation between the log ratio (Cluster 2/Cluster 1) and distance decay for Cluster 1 sites and (D) Cluster 2 sites. nloaded from https://envirom icro-journals.onlinelibrary.w iley.com /doi/10.1111/1758-2229.70123 by N at Prov Indonesia, W iley O nline L ibrary on [22/06/2025].

    Article Title: Iowa Brain‐Behavior Modeling Toolkit: An Open‐Source MATLAB Tool for Inferential and Predictive Modeling of Imaging‐Behavior and Lesion‐Deficit Relationships
    Article Snippet: The toolkit includes the following mass‐univariate modeling approaches: Pearson correlations (implemented using the MATLAB corr() function), t ‐tests (equal or unequal variances; implemented using the MATLAB ttest2() function), Brunner‐Munzel tests (implemented using scripts hosted here: https://github.com/robisoe/Brunner‐Munzel‐test‐for‐matlab ), ordinary least squares regressions and binary logistic regressions (implemented using the MATLAB fitglm() function), and proportional subtraction analyses.

    Article Title: A neural mechanism for learning from delayed postingestive feedback
    Article Snippet: We then used the built-in Matlab corr function to calculate and visualize pairwise correlations among all brain regions (Extended Data Fig. ).



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