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    GraphPad Software Inc pearson correlation coefficient (r) and p-value calculated with graphpad prism
    Pearson Correlation Coefficient (R) And P Value Calculated With Graphpad Prism, 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/pearson+correlation+coefficient+calculation/correlation+coefficient/pm39421896-51-22-25
    Average 90 stars, based on 1 article reviews
    pearson correlation coefficient (r) and p-value calculated with graphpad prism - by Bioz Stars, 2026-10
    90/100 stars

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    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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    Image Search Results


    a , b Scatterplot showing the relationship between gene-level alteration frequencies in ctDNA and archival tissues from ( a ) 141 patients who received prior anti-VEGF therapies, and ( b )113 patients who received prior anti-EGFR therapies. 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. Alterations that were absent from tumor tissue samples but detected in plasma samples were defined as emerging alterations. (All genes with at least one emerging alteration listed). Only known and likely oncogenic alterations in each gene were considered for the analysis. P- value was calculated using a two-tailed Fisher’s exact test to compare the percentage of patients with emerging alterations between those who received anti-EGFR therapies and those who received anti-VEGF therapies. Source data are provided as a Source Data file.

    Journal: Nature Communications

    Article Title: Ligand-activated EGFR/MAPK signaling but not PI3K, are key resistance mechanisms to EGFR-therapy in colorectal cancer

    doi: 10.1038/s41467-025-59588-3

    Figure Lengend Snippet: a , b Scatterplot showing the relationship between gene-level alteration frequencies in ctDNA and archival tissues from ( a ) 141 patients who received prior anti-VEGF therapies, and ( b )113 patients who received prior anti-EGFR therapies. 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. Alterations that were absent from tumor tissue samples but detected in plasma samples were defined as emerging alterations. (All genes with at least one emerging alteration listed). Only known and likely oncogenic alterations in each gene were considered for the analysis. P- value was calculated using a two-tailed Fisher’s exact test to compare the percentage of patients with emerging alterations between those who received anti-EGFR therapies and those who received anti-VEGF therapies. Source data are provided as a Source Data file.

    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.

    Techniques: Comparison, Clinical Proteomics, Two Tailed Test

    Correlation plots of equilibrium and kinetic parameters of cannabinoid compounds at CB1R and CB2R. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (A) association rate (log k on ) and (B) dissociation rate (log k off ) for CB1R ligands. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (C) association rates (log k on ) and (D) dissociation rates (log k off ) for CB2R ligands. Correlation analysis was carried out using a Pearson correlation analysis (two-tailed). Data shown are the mean and SEM of four independent experiments.

    Journal: Frontiers in Pharmacology

    Article Title: A universal cannabinoid CB1 and CB2 receptor TR-FRET kinetic ligand-binding assay

    doi: 10.3389/fphar.2025.1469986

    Figure Lengend Snippet: Correlation plots of equilibrium and kinetic parameters of cannabinoid compounds at CB1R and CB2R. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (A) association rate (log k on ) and (B) dissociation rate (log k off ) for CB1R ligands. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (C) association rates (log k on ) and (D) dissociation rates (log k off ) for CB2R ligands. Correlation analysis was carried out using a Pearson correlation analysis (two-tailed). Data shown are the mean and SEM of four independent experiments.

    Article Snippet: The correlation between datasets was determined by calculating the Pearson correlation coefficient (presented as the r 2 coefficient of determination, which shows percentage variation in y, which is explained by all the x variables together) in GraphPad Prism 9.2.

    Techniques: Transformation Assay, Two Tailed Test