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pearson linear partial correlation coefficient  (MathWorks Inc)


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    MathWorks Inc pearson linear partial correlation coefficient
    Pearson Linear Partial Correlation Coefficient, 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/pmc08439654-210-20-26
    Average 90 stars, based on 1 article reviews
    pearson linear partial correlation coefficient - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

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    Article Title: Slow and fast cortical cholinergic arousal is reduced in a mouse model of focal seizures with impaired consciousness
    Article Snippet: The relationships between the processed signals were then calculated using the Pearson correlation coefficient (r) with MATLAB (see and ).

    Article Title: Vegetation monitoring in mining area using canopy reflectance and landsat8 oli image
    Article Snippet: From the above figure, the linear correlation is not so obvious that it is not easy to make a judgment, and the general view is that the correlation is weak, so the next operation of the correlation coefficient is indispensable. (2) Calculation of Pearson correlation coefficient and significance by MATLAB The correlation coefficient between CSVI of 12 images and CSVI of hyperspectral image obtained in MATLAB is shown in Table 4.

    Article Title: Noninvasive estimation of internal spinal alignment in patients with adolescent idiopathic scoliosis using PCdare and back shape asymmetry
    Article Snippet: The Pearson correlation coefficient (corrcoef MATLAB function) was calculated between asymmetry indices and rCAs in an upright standing position manually annotated by a board-certified spine surgeon in PACS (MERLIN Diagnostic Workcenter, Version 7.1, Phönix-PACS GmbH, Freiburg im Breisgau, Germany).

    Article Title: Harmful algal bloom prediction using empirical dynamic modeling.
    Article Snippet: • Chlorophyll-a concentration is a key in-

    Article Title: Dynamics of ammonia-oxidizing microorganisms in gradient temperature-regulated reactors under low ammonia loading condition.
    Article Snippet: Ammonia-oxidizing microorganisms (AOMs) play a crucial role in nitrogen removal in engineered systems.. However, temperature fluctuations can lead to ammonia oxidation failure.. This study investigated the effects of a broad temperature range (10.5, 14, 17.5, 21, 26.4, 35, 38.5, 42, and 45.5 C) on the distribution of ammoniaoxidizing archaea (AOA), ammonia-oxidizing bacteria (AOB), and comammox together with Nitrospira and Nitrobacter in gradient temperature-regulated reactors operated under low ammonia loading condition.

    Article Title: Bridging circuit modeling and signal analysis to understand the risk of crosstalk contamination in brain recordings
    Article Snippet: Signal correlation, defined as a normalized measure of the similarity of two time-dependent signals, was calculated as the Pearson correlation coefficient (function corrcoef in MATLAB).

    Article Title: Noninvasive estimation of internal spinal alignment in patients with adolescent idiopathic scoliosis using PCdare and back shape asymmetry.
    Article Snippet: Comparison with clinical gold standard The Pearson correlation coefficient (corrcoef MATLAB function) was calculated between asymmetry indices and rCAs in an upright standing position manually annotated by a board-certified spine surgeon in PACS (MERLIN Diagnostic Workcenter, Version 7.1, Phönix-PACS GmbH, Freiburg im Breisgau, Germany).

    Article Title: Slow and fast cortical cholinergic arousal is reduced in a mouse model of focal seizures with impaired consciousness.
    Article Snippet: Article Slow and fast cortical chol inergic arousal is reduced in a mouse model of focal seizures with impaired consciousness

    Diagnostic Assay:

    Article Title: Slow and fast cortical cholinergic arousal is reduced in a mouse model of focal seizures with impaired consciousness
    Article Snippet: The relationships between the processed signals were then calculated using the Pearson correlation coefficient (r) with MATLAB (see and ).

    Article Title: Vegetation monitoring in mining area using canopy reflectance and landsat8 oli image
    Article Snippet: From the above figure, the linear correlation is not so obvious that it is not easy to make a judgment, and the general view is that the correlation is weak, so the next operation of the correlation coefficient is indispensable. (2) Calculation of Pearson correlation coefficient and significance by MATLAB The correlation coefficient between CSVI of 12 images and CSVI of hyperspectral image obtained in MATLAB is shown in Table 4.

    Article Title: Noninvasive estimation of internal spinal alignment in patients with adolescent idiopathic scoliosis using PCdare and back shape asymmetry
    Article Snippet: The Pearson correlation coefficient (corrcoef MATLAB function) was calculated between asymmetry indices and rCAs in an upright standing position manually annotated by a board-certified spine surgeon in PACS (MERLIN Diagnostic Workcenter, Version 7.1, Phönix-PACS GmbH, Freiburg im Breisgau, Germany).

    Article Title: Harmful algal bloom prediction using empirical dynamic modeling.
    Article Snippet: • Chlorophyll-a concentration is a key in-

    Article Title: Dynamics of ammonia-oxidizing microorganisms in gradient temperature-regulated reactors under low ammonia loading condition.
    Article Snippet: Ammonia-oxidizing microorganisms (AOMs) play a crucial role in nitrogen removal in engineered systems.. However, temperature fluctuations can lead to ammonia oxidation failure.. This study investigated the effects of a broad temperature range (10.5, 14, 17.5, 21, 26.4, 35, 38.5, 42, and 45.5 C) on the distribution of ammoniaoxidizing archaea (AOA), ammonia-oxidizing bacteria (AOB), and comammox together with Nitrospira and Nitrobacter in gradient temperature-regulated reactors operated under low ammonia loading condition.

    Article Title: Bridging circuit modeling and signal analysis to understand the risk of crosstalk contamination in brain recordings
    Article Snippet: Signal correlation, defined as a normalized measure of the similarity of two time-dependent signals, was calculated as the Pearson correlation coefficient (function corrcoef in MATLAB).

    Article Title: Noninvasive estimation of internal spinal alignment in patients with adolescent idiopathic scoliosis using PCdare and back shape asymmetry.
    Article Snippet: Comparison with clinical gold standard The Pearson correlation coefficient (corrcoef MATLAB function) was calculated between asymmetry indices and rCAs in an upright standing position manually annotated by a board-certified spine surgeon in PACS (MERLIN Diagnostic Workcenter, Version 7.1, Phönix-PACS GmbH, Freiburg im Breisgau, Germany).

    Article Title: Slow and fast cortical cholinergic arousal is reduced in a mouse model of focal seizures with impaired consciousness.
    Article Snippet: Article Slow and fast cortical chol inergic arousal is reduced in a mouse model of focal seizures with impaired consciousness



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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 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