Imaging assays were quantified using ImageJ (http://rsb.info.nih.gov.ezpprod1.hul.harvard.edu/ij/ ), including the Analyze Particles function of binary images with automatic threshold. Data are expressed as mean ± SD. The unpaired two-tailed Student’s t-test was used for comparison between two groups. Each group was tested for Gaussian distribution, if one-way ANOVA was passed, followed by Bonferroni’s test. If this failed, the Kruskal-Wallis test followed by Dunn’s correction was conducted to test for significance among multiple groups. Pearson’s correlation with nonlinear regression analysis was performed to compute Pearson’s r, and p-values. Statistical analyses were performed using Microsoft Office Excel 2011 or Graph Pad Prism 6 software. P < 0.05 was considered statistically significant.
Office excel 2011
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Office Excel 2011 is a spreadsheet software application developed by Microsoft. It is a part of the Microsoft Office suite for the macOS operating system. The core function of Excel 2011 is to create, edit, and manage spreadsheets, allowing users to organize, analyze, and visualize data.
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Lab products found in correlation
6 protocols using office excel 2011
1
Image Analysis Quantification Protocol
2
Microarray and Experimental Analyses
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The microarray analyses were repeated twice. All other experiments were repeated at least three times. Two-tailed Student's t tests or one-way analysis of variance (ANOVA) with Tukey post hoc tests was performed using Microsoft Office Excel 2011 or GraphPad Prism 5 software.
3
5-ALA Dosing Enhances PpIX-Positive EV Detection
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Data are expressed as mean 95% confidence interval. Statistical analysis was performed using Microsoft Office Excel 2011 or Graph Pad Prism 8 software. The unpaired two-tailed Student's t-test was used for comparisons between groups. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001 was considered statistically significant. Comparisons were done between the samples of each patient before and after 5-ALA dosing. The same was done for the mice. Inter-patient or inter-mice comparisons were not performed due to heterogeneity in the pre-dosing background levels. The increase in the PpIX-positive EV counts was expressed as fold change due to heterogeneity in the background. The same unit of measurement was used for both pre and post-dosing patient/mice samples.
4
Comparative Statistical Analysis of Groups
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Data are expressed as means ± SD. The unpaired two-tailed Student’s t-test was used for comparisons between groups. Each group was tested for Gaussian distribution, if this failed, the Kruskal-Wallis test was conducted. Statistical analyses were performed using Microsoft Office Excel 2011 or Graph Pad Prism 8 software. P < 0.05 was considered statistically significant.
5
Statistical Analysis of Experimental Data
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Data are expressed as mean ± SD. The unpaired two-tailed Student’s t-test was used for comparisons between two groups. Each group was tested for Gaussian distribution if one-way ANOVA was passed, followed by Bonferroni’s test. If this failed, the Kruskal-Wallis test followed by Dunn’s correction was conducted to test for significance among multiple groups. Statistical analyses were performed using Microsoft Office Excel 2011 or Graph Pad Prism 6 software. p < 0.05 was considered statistically significant.
6
Microscopy-based Quantification and RNA-seq Analysis
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All microscopy-based assays were edited/quantified using ImageJ (https://imagej.nih.gov/ij/index.html ), including the Analyze Particles function of binary images with automatic threshold. RNA-seq data from TCGA and the Ivy GAP were downloaded from https://tcga-data.nci.nih.gov/docs/publications/tcga/ and http://glioblastoma.alleninstitute.org , respectively (40 (link)). Data are means ± SD. The unpaired two-tailed Student’s t test was used for comparison between two groups. Each group was tested for Gaussian distribution, if one-way ANOVA was passed, followed by Bonferroni’s test. If this failed, the Kruskal-Wallis test, followed by Dunn’s correction, was conducted to test for significance among multiple groups. Pearson’s correlation with nonlinear regression analysis was performed to compute Pearson r, R2, and P values. Statistical analyses were performed using Microsoft Office Excel 2011 or GraphPad Prism 6 software. P < 0.05 was considered statistically significant.
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