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pearson’s correlation coefficient ( r ) calculation and linear regression analysis  (GraphPad Software Inc)


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    GraphPad Software Inc pearson’s correlation coefficient ( r ) calculation and linear regression analysis
    Pearson’s Correlation Coefficient ( R ) Calculation And Linear Regression Analysis, supplied by GraphPad Software 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/correlation+coefficient/pmc10633791-142-0-15
    Average 90 stars, based on 1 article reviews
    pearson’s correlation coefficient ( r ) calculation and linear regression analysis - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: KANK1 promotes breast cancer development by compromising Scribble-mediated Hippo activation
    Article Snippet: Pearson correlation coefficient (r) analysis and P value (t-distribution with n-2 degrees of freedom) calculation were performed in GraphPad Prism. (h,i) MCF7KANK1-WT and MCF7KANK1-KO cells were xenografted into the fat pad of immunode cient mice.

    Article Title: Effect of Milk and Water Kefir Grains on the Nutritional Profile and Antioxidant Capacity of Fermented Almond Milk.
    Article Snippet: Pearson correlation coefficients (PMCC) between the TPC, TFC, ABTS, DPPH, and FRAP of each sample were calculated using GraphPad Prism 10.3.1 software (GraphPad Software, San Diego, CA, USA).

    Article Title: Resistance of Alternaria spp. Causing Strawberry Black Spot to Boscalid in China.
    Article Snippet: Pearson’s correlation coefficient (ρ) values were also calculated to assess the cross-resistance between two fungicides using GraphPad Prism 8.0.

    Article Title: Method of detecting cognitive impairment
    Article Snippet: The statistical association between two or more variables was determined by Pearson's correlation coefficient (r) test (Gaussian-distributed variables; GraphPad Prism).

    Countercurrent Chromatography:

    Article Title: Matching plasma and tissue miRNA expression analysis to detect viable ovarian germ cell tumors.
    Article Snippet: .. The Correlation Coefficient (r) was calculated in Graphpad Prism, and the Concordance Correlation Coefficient (CCC) was determined as described in statistical analysis section. (TIF) S2 Fig. ..

    Quantitative RT-PCR:

    Article Title: Transcriptomics and proteomics provide insights into the adaptative strategies of Tibetan naked carps (Gymnocypris przewalskii) to saline-alkaline variations.
    Article Snippet: .. The Pearson correlation coefficient (r2) was calculated between the FC of RT-qPCR and that of RNA-seq via GraphPad Systems (Prism 9). ..

    RNA Sequencing:

    Article Title: Transcriptomics and proteomics provide insights into the adaptative strategies of Tibetan naked carps (Gymnocypris przewalskii) to saline-alkaline variations.
    Article Snippet: .. The Pearson correlation coefficient (r2) was calculated between the FC of RT-qPCR and that of RNA-seq via GraphPad Systems (Prism 9). ..

    Comparison:

    Article Title: Ligand-activated EGFR/MAPK signaling but not PI3K, are key resistance mechanisms to EGFR-therapy in colorectal cancer
    Article Snippet: .. The effect size was estimated using Pearson’s correlation coefficient(r) calculated in GraphPad Prism, and the coefficient of determination (r 2 ), representing the proportion of variance explained by the relationship, is displayed on the scatter plot. c Comparison of percentage of patients with emerging alterations between patients with prior anti-EGFR therapies and those with prior anti-VEGF therapies. ..



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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 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