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pearson’s linear correlation function  (MathWorks Inc)


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    MathWorks Inc pearson’s linear correlation function
    Pearson’s Linear Correlation Function, 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
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    Average 90 stars, based on 1 article reviews
    pearson’s linear correlation function - by Bioz Stars, 2026-03
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    a Clonogenic survival assays were performed on the indicated GBM cell lines to determine Dmid (the linear area under the clonogenic survival curve). Data are presented as mean ± SEM from 3 to 7 biologic replicates. b RT-resistant (U87 MG and A172) and RT-sensitive (KS-1 and U118 MG) GBM cell lines were irradiated with 8 Gy, followed by γ-H2AX flow cytometry analysis at 0, 0.5, 2, or 24 h following RT. Data are presented as mean ± SEM from 3 biologic replicates. c Metabolites were grouped into pathways and an average pathway-level correlation with RT-sensitivity was determined. Only the pathways significantly correlated with RT-sensitivity are shown. d Two RT-resistant (U87 MG and A172) and two RT-sensitive (KS-1 and U118 MG) GBM cell lines were irradiated with 8 Gy, and harvested 2 h after RT and analyzed by targeted LC-MS/MS (4 biologic replicates per cell line). Fold-change values for each metabolite were determined based on unirradiated matched cell line controls and then averaged for the two resistant (left) or sensitive (right) cell lines. e Pathways with downregulated metabolites post-RT that are significantly correlated with RT-sensitivity are shown <t>(Pearson’s</t> correlation; p = 0.0001 for guanylates; p = 0.02 for glutathione; p = 0.03 for nucleotide sugar, p = 0.0495 for adenylates.). Source data are provided as a Source Data file.
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    built-in function for pearson’s linear correlation coefficient  (MathWorks Inc)
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    a Clonogenic survival assays were performed on the indicated GBM cell lines to determine Dmid (the linear area under the clonogenic survival curve). Data are presented as mean ± SEM from 3 to 7 biologic replicates. b RT-resistant (U87 MG and A172) and RT-sensitive (KS-1 and U118 MG) GBM cell lines were irradiated with 8 Gy, followed by γ-H2AX flow cytometry analysis at 0, 0.5, 2, or 24 h following RT. Data are presented as mean ± SEM from 3 biologic replicates. c Metabolites were grouped into pathways and an average pathway-level correlation with RT-sensitivity was determined. Only the pathways significantly correlated with RT-sensitivity are shown. d Two RT-resistant (U87 MG and A172) and two RT-sensitive (KS-1 and U118 MG) GBM cell lines were irradiated with 8 Gy, and harvested 2 h after RT and analyzed by targeted LC-MS/MS (4 biologic replicates per cell line). Fold-change values for each metabolite were determined based on unirradiated matched cell line controls and then averaged for the two resistant (left) or sensitive (right) cell lines. e Pathways with downregulated metabolites post-RT that are significantly correlated with RT-sensitivity are shown <t>(Pearson’s</t> correlation; p = 0.0001 for guanylates; p = 0.02 for glutathione; p = 0.03 for nucleotide sugar, p = 0.0495 for adenylates.). Source data are provided as a Source Data file.
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    a Clonogenic survival assays were performed on the indicated GBM cell lines to determine Dmid (the linear area under the clonogenic survival curve). Data are presented as mean ± SEM from 3 to 7 biologic replicates. b RT-resistant (U87 MG and A172) and RT-sensitive (KS-1 and U118 MG) GBM cell lines were irradiated with 8 Gy, followed by γ-H2AX flow cytometry analysis at 0, 0.5, 2, or 24 h following RT. Data are presented as mean ± SEM from 3 biologic replicates. c Metabolites were grouped into pathways and an average pathway-level correlation with RT-sensitivity was determined. Only the pathways significantly correlated with RT-sensitivity are shown. d Two RT-resistant (U87 MG and A172) and two RT-sensitive (KS-1 and U118 MG) GBM cell lines were irradiated with 8 Gy, and harvested 2 h after RT and analyzed by targeted LC-MS/MS (4 biologic replicates per cell line). Fold-change values for each metabolite were determined based on unirradiated matched cell line controls and then averaged for the two resistant (left) or sensitive (right) cell lines. e Pathways with downregulated metabolites post-RT that are significantly correlated with RT-sensitivity are shown (Pearson’s correlation; p = 0.0001 for guanylates; p = 0.02 for glutathione; p = 0.03 for nucleotide sugar, p = 0.0495 for adenylates.). Source data are provided as a Source Data file.

    Journal: Nature Communications

    Article Title: Purine metabolism regulates DNA repair and therapy resistance in glioblastoma

    doi: 10.1038/s41467-020-17512-x

    Figure Lengend Snippet: a Clonogenic survival assays were performed on the indicated GBM cell lines to determine Dmid (the linear area under the clonogenic survival curve). Data are presented as mean ± SEM from 3 to 7 biologic replicates. b RT-resistant (U87 MG and A172) and RT-sensitive (KS-1 and U118 MG) GBM cell lines were irradiated with 8 Gy, followed by γ-H2AX flow cytometry analysis at 0, 0.5, 2, or 24 h following RT. Data are presented as mean ± SEM from 3 biologic replicates. c Metabolites were grouped into pathways and an average pathway-level correlation with RT-sensitivity was determined. Only the pathways significantly correlated with RT-sensitivity are shown. d Two RT-resistant (U87 MG and A172) and two RT-sensitive (KS-1 and U118 MG) GBM cell lines were irradiated with 8 Gy, and harvested 2 h after RT and analyzed by targeted LC-MS/MS (4 biologic replicates per cell line). Fold-change values for each metabolite were determined based on unirradiated matched cell line controls and then averaged for the two resistant (left) or sensitive (right) cell lines. e Pathways with downregulated metabolites post-RT that are significantly correlated with RT-sensitivity are shown (Pearson’s correlation; p = 0.0001 for guanylates; p = 0.02 for glutathione; p = 0.03 for nucleotide sugar, p = 0.0495 for adenylates.). Source data are provided as a Source Data file.

    Article Snippet: This was then correlated with RT-resistance score using Pearson’s linear correlation function in MATLAB.

    Techniques: Irradiation, Flow Cytometry, Liquid Chromatography with Mass Spectroscopy