pearson’s product moment correlation (ppmc Search Results


pearson product moment correlation  (GraphPad Software Inc)
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GraphPad Software Inc pearson product moment correlation
Detection of cellular subsets in PBMC samples by mass and fluorescent cytometry. a Representative gating scheme identifying major immune cell populations in PBMCs by FC and MC. Singlet cells, deemed viable by a Live/Dead marker (FC) or DNA intercalator (MC) were used as the parent population for cell surface marker analysis. Percentage of positive cells on a bivariate plot of CD45 and markers common to both platforms were compared. Markers included in analysis: CD11b, CD127, CD14, CD15, CD19, CD25, CD27, CD3, CD4, CD86, CD8a, HLA-ABC, HLA-DR, PD-1 and PD-L1. b Comparison of population percentages quantified by FC and MC. Percentages of cells positive for CD45 and 15 common markers were quantified by both platforms. Data represents log 10 (average) ± standard deviation (SD) ( N = 3) of percent positive cells. Correlation between FC and MC was determined by <t>Pearson</t> Product Moment Correlation <t>(PPMC)</t> ( r = 0.96, p < 0.0001)
Pearson Product Moment Correlation, 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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Detection of cellular subsets in PBMC samples by mass and fluorescent cytometry. a Representative gating scheme identifying major immune cell populations in PBMCs by FC and MC. Singlet cells, deemed viable by a Live/Dead marker (FC) or DNA intercalator (MC) were used as the parent population for cell surface marker analysis. Percentage of positive cells on a bivariate plot of CD45 and markers common to both platforms were compared. Markers included in analysis: CD11b, CD127, CD14, CD15, CD19, CD25, CD27, CD3, CD4, CD86, CD8a, HLA-ABC, HLA-DR, PD-1 and PD-L1. b Comparison of population percentages quantified by FC and MC. Percentages of cells positive for CD45 and 15 common markers were quantified by both platforms. Data represents log 10 (average) ± standard deviation (SD) ( N = 3) of percent positive cells. Correlation between FC and MC was determined by Pearson Product Moment Correlation (PPMC) ( r = 0.96, p < 0.0001)

Journal: BMC Immunology

Article Title: Effect of cryopreservation on delineation of immune cell subpopulations in tumor specimens as determinated by multiparametric single cell mass cytometry analysis

doi: 10.1186/s12865-017-0192-1

Figure Lengend Snippet: Detection of cellular subsets in PBMC samples by mass and fluorescent cytometry. a Representative gating scheme identifying major immune cell populations in PBMCs by FC and MC. Singlet cells, deemed viable by a Live/Dead marker (FC) or DNA intercalator (MC) were used as the parent population for cell surface marker analysis. Percentage of positive cells on a bivariate plot of CD45 and markers common to both platforms were compared. Markers included in analysis: CD11b, CD127, CD14, CD15, CD19, CD25, CD27, CD3, CD4, CD86, CD8a, HLA-ABC, HLA-DR, PD-1 and PD-L1. b Comparison of population percentages quantified by FC and MC. Percentages of cells positive for CD45 and 15 common markers were quantified by both platforms. Data represents log 10 (average) ± standard deviation (SD) ( N = 3) of percent positive cells. Correlation between FC and MC was determined by Pearson Product Moment Correlation (PPMC) ( r = 0.96, p < 0.0001)

Article Snippet: Pearson product moment correlation (PPMC) was used to compare FC and MC data sets, with a two tailed p value (GraphPad Software V.6, La Jolla, CA).

Techniques: Cytometry, Marker, Comparison, Standard Deviation

Comparison of FC and MC detection of immunophenotyping markers in frozen primary tumor samples. a Ratio of percent positive cells detected by FC over MC for 19 common markers. Correlation between FC and MC was determined by Pearson Product Moment Correlation (PPMC). b Cell number and viability measurements. Viability and cell number as determined by FC analysis using an amine-reactive dye. Viability and number of acquired events as determined by MC analysis using 103 Rh and 191/193 Ir DNA intercalators. Cellular counts are expressed on a log 10 scale. Data indicate that the viability and cell number differences acquired using FC and MC were major contributing factors in divergence of detected cellular frequencies in tumor samples

Journal: BMC Immunology

Article Title: Effect of cryopreservation on delineation of immune cell subpopulations in tumor specimens as determinated by multiparametric single cell mass cytometry analysis

doi: 10.1186/s12865-017-0192-1

Figure Lengend Snippet: Comparison of FC and MC detection of immunophenotyping markers in frozen primary tumor samples. a Ratio of percent positive cells detected by FC over MC for 19 common markers. Correlation between FC and MC was determined by Pearson Product Moment Correlation (PPMC). b Cell number and viability measurements. Viability and cell number as determined by FC analysis using an amine-reactive dye. Viability and number of acquired events as determined by MC analysis using 103 Rh and 191/193 Ir DNA intercalators. Cellular counts are expressed on a log 10 scale. Data indicate that the viability and cell number differences acquired using FC and MC were major contributing factors in divergence of detected cellular frequencies in tumor samples

Article Snippet: Pearson product moment correlation (PPMC) was used to compare FC and MC data sets, with a two tailed p value (GraphPad Software V.6, La Jolla, CA).

Techniques: Comparison