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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/result/pearson’s correlation coefficient (r) calculation and linear regression analysis/product/GraphPad Software Inc
    Average 90 stars, based on 1 article reviews
    pearson’s correlation coefficient (r) calculation and linear regression analysis - by Bioz Stars, 2026-04
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    Targeting PCAT-1 inhibits c-Myc. a : Relative mRNA expression of c-Myc analysed by qRT-PCR in JHU029 and Cal27 cells with or without transfection of siRNA to PCAT1. Control siRNA was used in parallel. GAPDH gene was used as internal control. b : Cell lysates from JHU029 and Cal27 cells with control or siRNA to PCAT-1 were subjected to Western blot analysis for the c-Myc using specific antibody. The membrane was reprobed with antibody to GAPDH as an internal control. Right panel is quantitative representation of Western blot band intensities using Image-J software. c : Relative mRNA expression of c-Myc in HNSCC tumors ( n = 14) compared to the adjacent non-tumor tissues analysed by qRT-PCR. 18 s gene used as internal control. d : Correlation analysis of PCAT-1 and c-Myc expression in HNSCC tumor samples ( n = 14). The relationship was evaluated by <t>Pearson’s</t> correlation coefficient (linear regression) with 95% confidence. e : In-silico correlation analysis of expression between PCAT-1 and c-Myc in the HNSCC patient samples of TCGA data analysed by GEPIA ( http://gepia.cancer-pku.cn ). Small bar indicates standard error (*, p < 0.05; ** p < 0.01; *** p < 0.001)
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    Targeting PCAT-1 inhibits c-Myc. a : Relative mRNA expression of c-Myc analysed by qRT-PCR in JHU029 and Cal27 cells with or without transfection of siRNA to PCAT1. Control siRNA was used in parallel. GAPDH gene was used as internal control. b : Cell lysates from JHU029 and Cal27 cells with control or siRNA to PCAT-1 were subjected to Western blot analysis for the c-Myc using specific antibody. The membrane was reprobed with antibody to GAPDH as an internal control. Right panel is quantitative representation of Western blot band intensities using Image-J software. c : Relative mRNA expression of c-Myc in HNSCC tumors ( n = 14) compared to the adjacent non-tumor tissues analysed by qRT-PCR. 18 s gene used as internal control. d : Correlation analysis of PCAT-1 and c-Myc expression in HNSCC tumor samples ( n = 14). The relationship was evaluated by <t>Pearson’s</t> correlation coefficient (linear regression) with 95% confidence. e : In-silico correlation analysis of expression between PCAT-1 and c-Myc in the HNSCC patient samples of TCGA data analysed by GEPIA ( http://gepia.cancer-pku.cn ). Small bar indicates standard error (*, p < 0.05; ** p < 0.01; *** p < 0.001)
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    Targeting PCAT-1 inhibits c-Myc. a : Relative mRNA expression of c-Myc analysed by qRT-PCR in JHU029 and Cal27 cells with or without transfection of siRNA to PCAT1. Control siRNA was used in parallel. GAPDH gene was used as internal control. b : Cell lysates from JHU029 and Cal27 cells with control or siRNA to PCAT-1 were subjected to Western blot analysis for the c-Myc using specific antibody. The membrane was reprobed with antibody to GAPDH as an internal control. Right panel is quantitative representation of Western blot band intensities using Image-J software. c : Relative mRNA expression of c-Myc in HNSCC tumors ( n = 14) compared to the adjacent non-tumor tissues analysed by qRT-PCR. 18 s gene used as internal control. d : Correlation analysis of PCAT-1 and c-Myc expression in HNSCC tumor samples ( n = 14). The relationship was evaluated by <t>Pearson’s</t> correlation coefficient (linear regression) with 95% confidence. e : In-silico correlation analysis of expression between PCAT-1 and c-Myc in the HNSCC patient samples of TCGA data analysed by GEPIA ( http://gepia.cancer-pku.cn ). Small bar indicates standard error (*, p < 0.05; ** p < 0.01; *** p < 0.001)
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    Comparison of M. leprae viability using real-time RLEP PCR and BI analyses of patients' biopsy specimens as a function of pretreatment and posttreatment using linear <t>Pearson</t> correlation between BI and DNA concentrations for MB leprosy patients (P = 0.001; r = 0.6942).
    Linear Pearson Correlation Coefficient ( R), 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
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    Targeting PCAT-1 inhibits c-Myc. a : Relative mRNA expression of c-Myc analysed by qRT-PCR in JHU029 and Cal27 cells with or without transfection of siRNA to PCAT1. Control siRNA was used in parallel. GAPDH gene was used as internal control. b : Cell lysates from JHU029 and Cal27 cells with control or siRNA to PCAT-1 were subjected to Western blot analysis for the c-Myc using specific antibody. The membrane was reprobed with antibody to GAPDH as an internal control. Right panel is quantitative representation of Western blot band intensities using Image-J software. c : Relative mRNA expression of c-Myc in HNSCC tumors ( n = 14) compared to the adjacent non-tumor tissues analysed by qRT-PCR. 18 s gene used as internal control. d : Correlation analysis of PCAT-1 and c-Myc expression in HNSCC tumor samples ( n = 14). The relationship was evaluated by Pearson’s correlation coefficient (linear regression) with 95% confidence. e : In-silico correlation analysis of expression between PCAT-1 and c-Myc in the HNSCC patient samples of TCGA data analysed by GEPIA ( http://gepia.cancer-pku.cn ). Small bar indicates standard error (*, p < 0.05; ** p < 0.01; *** p < 0.001)

    Journal: BMC Cancer

    Article Title: Depletion of PCAT-1 in head and neck cancer cells inhibits tumor growth and induces apoptosis by modulating c-Myc-AKT1-p38 MAPK signalling pathways

    doi: 10.1186/s12885-019-5562-z

    Figure Lengend Snippet: Targeting PCAT-1 inhibits c-Myc. a : Relative mRNA expression of c-Myc analysed by qRT-PCR in JHU029 and Cal27 cells with or without transfection of siRNA to PCAT1. Control siRNA was used in parallel. GAPDH gene was used as internal control. b : Cell lysates from JHU029 and Cal27 cells with control or siRNA to PCAT-1 were subjected to Western blot analysis for the c-Myc using specific antibody. The membrane was reprobed with antibody to GAPDH as an internal control. Right panel is quantitative representation of Western blot band intensities using Image-J software. c : Relative mRNA expression of c-Myc in HNSCC tumors ( n = 14) compared to the adjacent non-tumor tissues analysed by qRT-PCR. 18 s gene used as internal control. d : Correlation analysis of PCAT-1 and c-Myc expression in HNSCC tumor samples ( n = 14). The relationship was evaluated by Pearson’s correlation coefficient (linear regression) with 95% confidence. e : In-silico correlation analysis of expression between PCAT-1 and c-Myc in the HNSCC patient samples of TCGA data analysed by GEPIA ( http://gepia.cancer-pku.cn ). Small bar indicates standard error (*, p < 0.05; ** p < 0.01; *** p < 0.001)

    Article Snippet: The relationship between PCAT-1 and c-Myc; PCAT-1 and AKT1 in patient samples were evaluated by Pearson’s correlation coefficient (R) (linear regression) using GraphPad Prism 6.

    Techniques: Expressing, Quantitative RT-PCR, Transfection, Control, Western Blot, Membrane, Software, In Silico

    Targeting PCAT-1 inhibits AKT1. a : Relative mRNA expression of AKT-1 analysed by qRT-PCR in JHU029 and Cal27 cells with or without transfected with siRNA. Control siRNA was used in parallel. GAPDH gene was used as internal control. b : Cell lysates from JHU029 and Cal27 cells transfected with control or siRNA of PCAT-1 were subjected to Western blot analysis for the AKT1 using specific antibody. The membrane was reprobed with antibody to GAPDH as an internal control. Right panel shows quantitative representation of Western blot band intensities using Image-J software. c : Relative mRNA expression of AKT1 in HNSCC tumors ( n = 14) compared to the adjacent non-tumor tissues analysed by qRT-PCR. 18 s gene used as internal control. d : Correlation analysis of PCAT-1 and AKT1 expression in HNSCC tumor samples ( n = 14). The relationship was evaluated by Pearson’s correlation coefficient (linear regression) with 95% confidence. e: In-silico correlation analysis of expression between PCAT-1 and AKT in the HNSCC patient samples of the TCGA dataset analysed by GEPIA ( http://gepia.cancer-pku.cn ). Small bar indicates standard error (*, p < 0.05; ** p < 0.01; *** p < 0.001)

    Journal: BMC Cancer

    Article Title: Depletion of PCAT-1 in head and neck cancer cells inhibits tumor growth and induces apoptosis by modulating c-Myc-AKT1-p38 MAPK signalling pathways

    doi: 10.1186/s12885-019-5562-z

    Figure Lengend Snippet: Targeting PCAT-1 inhibits AKT1. a : Relative mRNA expression of AKT-1 analysed by qRT-PCR in JHU029 and Cal27 cells with or without transfected with siRNA. Control siRNA was used in parallel. GAPDH gene was used as internal control. b : Cell lysates from JHU029 and Cal27 cells transfected with control or siRNA of PCAT-1 were subjected to Western blot analysis for the AKT1 using specific antibody. The membrane was reprobed with antibody to GAPDH as an internal control. Right panel shows quantitative representation of Western blot band intensities using Image-J software. c : Relative mRNA expression of AKT1 in HNSCC tumors ( n = 14) compared to the adjacent non-tumor tissues analysed by qRT-PCR. 18 s gene used as internal control. d : Correlation analysis of PCAT-1 and AKT1 expression in HNSCC tumor samples ( n = 14). The relationship was evaluated by Pearson’s correlation coefficient (linear regression) with 95% confidence. e: In-silico correlation analysis of expression between PCAT-1 and AKT in the HNSCC patient samples of the TCGA dataset analysed by GEPIA ( http://gepia.cancer-pku.cn ). Small bar indicates standard error (*, p < 0.05; ** p < 0.01; *** p < 0.001)

    Article Snippet: The relationship between PCAT-1 and c-Myc; PCAT-1 and AKT1 in patient samples were evaluated by Pearson’s correlation coefficient (R) (linear regression) using GraphPad Prism 6.

    Techniques: Expressing, Quantitative RT-PCR, Transfection, Control, Western Blot, Membrane, Software, In Silico

    Comparison of M. leprae viability using real-time RLEP PCR and BI analyses of patients' biopsy specimens as a function of pretreatment and posttreatment using linear Pearson correlation between BI and DNA concentrations for MB leprosy patients (P = 0.001; r = 0.6942).

    Journal:

    Article Title: Molecular Determination of Mycobacterium leprae Viability by Use of Real-Time PCR

    doi: 10.1128/JCM.00512-09

    Figure Lengend Snippet: Comparison of M. leprae viability using real-time RLEP PCR and BI analyses of patients' biopsy specimens as a function of pretreatment and posttreatment using linear Pearson correlation between BI and DNA concentrations for MB leprosy patients (P = 0.001; r = 0.6942).

    Article Snippet: All statistical comparisons were made using the linear Pearson correlation coefficient ( r ) (GraphPad InStat version 3 software) as a measure of correlation between assays at a particular time interval.

    Techniques: Comparison