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pearson’s linear correlation coefficient matlab corr  (MathWorks Inc)


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    MathWorks Inc pearson’s linear correlation coefficient matlab corr
    Pearson’s Linear Correlation Coefficient Matlab Corr, 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/linear+pearson+correlation+coefficient/pm38243048-108-24-28
    Average 90 stars, based on 1 article reviews
    pearson’s linear correlation coefficient matlab corr - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Coupling between motor cortex and striatum increases during sleep over long-term skill learning
    Article Snippet: To determine the relationship between LFP coherence and velocity profile correlation values accounting for single-trial peak velocity, we computed a Pearson linear partial correlation coefficient using MATLAB function partialcorr .

    Article Title: Distinct Populations of Motor Thalamic Neurons Encode Action Initiation, Action Selection, and Movement Vigor
    Article Snippet: RT and MT regressions were fit using a linear polynomial curve to determine R 2 with p values computed using Pearson's linear correlation coefficient (MATLAB fit and corr , respectively).

    Article Title: Antisaccade velocity, but not latency, results from a lack of saccade visual guidance.
    Article Snippet: Statistical correlations were computed using the Pearson linear correlation coefficient implemented in MATLAB.

    Article Title: Intelligibility of speech in Parkinson's disease relies on anatomically segregated subthalamic beta oscillations.
    Article Snippet: Correlation between variables was estimated through Pearson's linear correlation coefficient ρ (corrcoef function in Matlab) and tested under the null hypothesis of no correlation with alpha = 0.05.

    Article Title: Machine learning prediction of fundamental sewage sludge biochar properties based on sludge characteristics and pyrolysis conditions.
    Article Snippet: • The nature of sewage sludge proved to outweighs the pyrolysis condition.. • Ash removal in advance may be beneficial for carbon retention of sludge char.. • The (fixed) carbon content of sewage sludge biochar is driven by feedstock.

    Article Title: Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI
    Article Snippet: Pearson's linear correlation coefficient (Matlab 2014a) was used to assess correlation between ADC and diffusion coefficients from non-mono-exponential models and to assess correlation between parameters within each non-mono-exponential model. Tumour grade and type were determined from histopathological analysis of post-surgery samples (n = 12) or pre-imaging cone biopsy data (n = 30), which samples a substantial (∼1 cm 3 ) tumour volume.

    Article Title: Coordination of Gene Expression and Growth-Rate in Natural Populations of Budding Yeast
    Article Snippet: All correlations were calculated using Pearson's linear correlation coefficient (Matlab) and the significance threshold for the correlation was set to α = 0.01.

    Produced:

    Article Title: Reconstruction of height of sub-nanometer steps with bimodal atomic force microscopy.
    Article Snippet: Obtaining topographic images of surfaces presenting terraces with heights in the nanometer and sub-nanometer range has become routine since the advent of atomic force microscopy (AFM).. There remain however several open questions regarding the validity of direct topographic measurements.. Here we turn to recent advances in AFM to correct the height of nanometric terraces by exploiting the four observables of bimodal AFM operated in the non-invasive attractive regime.



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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    pearson’s linear correlation coefficient (ρ)  (MathWorks Inc)
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the Pearson’s correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).

    Journal: Scientific Reports

    Article Title: Longitudinal changes in resting state fMRI brain self-similarity of asymptomatic high school American football athletes

    doi: 10.1038/s41598-024-51688-2

    Figure Lengend Snippet: Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the Pearson’s correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).

    Article Snippet: Symmetric 248 × 248 functional connectivity matrices were computed for each scan session, where the entry at location (i, j) is computed as the Pearson’s linear correlation coefficient (MATLAB corr ) between averaged fMRI time series of ROIs i and j .

    Techniques: Whisker Assay, Comparison, Derivative Assay, Functional Assay