All data are expressed as mean ± SEM. Statistical significance between two groups was determined by unpaired Student's t test using the Microsoft Office Excel analysis tool and GraphPad Prism 6 software (GraphPad Software, San Diego, CA, USA). Results with a value of P < .05 were considered as statistically significant.
Microsoft office excel
Manufactured by GraphPad
Sourced in United States
Microsoft Office Excel is a spreadsheet software application that allows users to organize, calculate, and analyze data. It provides a grid-based interface for creating, formatting, and manipulating tabular data. Excel's core function is to facilitate data processing, calculations, and visualization.
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Lab products found in correlation
Prism 5, by GraphPad (4 mentions)
Prism 9, by GraphPad (2 mentions)
Prism 6, by GraphPad (2 mentions)
Prism v7.0a, by GraphPad (1 mentions)
Spss version, by IBM (1 mentions)
Prism software, by GraphPad (1 mentions)
Office excel, by GraphPad (1 mentions)
Prism 4, by GraphPad (1 mentions)
3h thymidine, by Cytiva (1 mentions)
15 protocols using microsoft office excel
1
Comparative Analysis of Cell Viability
2
Age-related Mitochondrial Function Analysis
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Graphing and statistical analysis were performed using Microsoft Office Excel and GraphPad Prism for OS X (GraphPad Software, San Diego, California USA). For all statistical tests, alpha levels were set to p<0.05. *p<0.05 for post hoc tests or direct comparisons unless described otherwise. IC50 for ROS and membrane potential in isolated mitochondria was determined using nonlinear regression [Inhibitor] vs. Response – variable slope (four parameters) equation, and EC50 for OCR was determined using [Agonist] vs normalized dose response. For comparisons across a range of ADP concentrations or frequencies for muscle contraction, young vs old, young vs young acute, and old vs old acute were compared by two-way RM ANOVA with Sidak’s post hoc test. Old vs old acute vs old chronic were compared with mixed-effects model (REML) with Tukey’s post hoc test. For heart function, pre- and post-ELAM treatment was compared by paired two-tailed student’s t-test. Gastrocnemius fibers ROS production was compared by unpaired Welch’s t-test, because the variances were significantly different. Principal component analysis was performed using ClustVis as previously described (Metsalu and Vilo, 2015 (link); Pharaoh et al., 2019 (link)). Main effect significant results are described in text and on graph. Plots depict mean ± standard deviation.
3
Multiplex cytokine detection assay
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10 µL SN or standard was mixed with 10 µL capture bead diluent supplied with 0.2 µL of each capture bead (human Flex set from BD Bioscience: IFN-γ (E7), IL-2 (A4), granzyme B (D7), IL-6 (A7), IL-8 (A9), TNF (C4), IL-13 (E6)) in a 384-well flow cytometry plate (Corning #3830). After 1 hour incubation at RT and applied to an Eppendorf MixMate under constant rotations with 800 rounds/min in the dark, 10 µL PE detection reagent were added. After 2 hour incubation at RT and 800 rounds/min in the dark beads were washed four times with 80 µL wash buffer and beads were acquired using iQue Screener Plus (Satorius). Collected data were further analyzed with FlowJo V.10.1.6 (Tree Star), Microsoft office Excel and GraphPad Prism V.7.0a (GraphPad Software).
4
Gene Ontology Enrichment Analysis
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Gene lists were submitted to Gene Ontology Consortium (geneontology.org ) and annotated for complete cellular components (GO CC) analyses. Top enriched categories were selected based on p value corrected for multiple hypothesis testing (B+H FDR). Logarithm of p value was then plotted using Microsoft Office Excel or Prism (Graphpad).
5
Statistical Analysis of Disease Progression
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Continuous variables were analysed by either parametric or nonparametric statistical tests after analyzing their Gaussian distribution by the Shapiro–Wilk test. Categorical parameters were calculated as proportions and were analysed by chi-squared testing. A one-way analysis of variance with Tukey’s correction test was used to analyse the comparison between disease stages. Pearson’s r correlations and linear regression were used to evaluate the correlation between variables. Contingency table analysis was performed with chi-squared test. For the analysis of overall survival, we used Kaplan–Meier survival curves and receiver operating characteristic (ROC) analyses (GraphPad Prism 9). The Cox Mantel log-rank test model and Gehan–Breslow–Wilcoxon test were applied for outcome prediction, and the Wilson/Brown test was used for ROC analyses. Positive and negative predictive values were calculated with the Yardstick R Package (version 403). Regression model analyses were conducted with SPSS version 23 (IBM) software. In addition, Microsoft Office Excel and GraphPad Prism 9 were used to calculate the Youden index; the area under the curve (AUC) and 95% confidence intervals (CIs) are reported. A value of p < 0.05 was considered significant.
6
Synergy between AGN/Decursin and Myc Inhibitors
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To determine the synergistic interaction between AGN/decursin and Myc inhibitors, MTS assays were performed in which the concentrations of drugs were gradually increased while maintaining a constant ratio of the drugs. CI values were calculated using the CompuSyn software. Synergy levels are as follows: <0.1, very strong synergism; 0.1–0.3, strong synergism; 0.3–0.9, synergism; 0.90–1.10, nearly additive; and >1.10, antagonism (modified from Chou, 200648 (link)). Data are presented as the mean ± SD. Statistically significant differences were calculated by the Student’s t test using Microsoft Office Excel and Prism software (GraphPad). All experiments were repeated at least three times independently. For statistical analysis of high grade blastic B-cell lymphoma incidence in Eμ-myc transgenic mice in Fig. 7A , Fisher’s exact test was conducted.
7
Triplicate Experiments with Statistical Analysis
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All experiments were performed in triplicate to ensure repeatability. Data are presented as mean ± standard deviation (SD). Statistically significant differences were determined by Mann–Whitney U test and one-way analysis of variance (ANOVA) with Tukey’s post hoc test using Microsoft Office Excel and GraphPad Prism 5.03 software (GraphPad Software, Inc., San Diego, CA, USA).
8
Analysis of Cardiovascular Variability
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All data were analyzed using Microsoft Office Excel and Prism version 5.5 (GraphPad Software Inc., La Jolla, CA, USA). Results are presented as mean ± standard error of the mean, and statistical significance was set at 5%. Parametric continuous data were analyzed using a paired t test. Non-parametric continuous data were analyzed using the Mann–Whitney U test. The HRV and BPV were extracted from the time and frequency domains of the beat-to-beat systolic BP and RR intervals using a locally developed software package.
9
Reproducible Experimental Methodology
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All experiments were independently repeated at least three times to confirm reproducibility. Data are presented as mean ± standard deviation (SD). Statistically significant differences were calculated using the Mann–Whitney U test or one-way analysis of variance (ANOVA) test with Tukey’s post hoc test using Microsoft Office Excel and GraphPad Prism 5 software (GraphPad Software, Inc., San Diego, CA, USA).
10
Autoantibody Profiling for CRC Detection
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Microsoft Office Excel, GraphPad Prism 5, and the R program (v4.1.1) were used for the statistical analysis. Mean and standard error of the mean (SEM) were obtained with Microsoft Office Excel and GraphPad Prism 5. Statistical differences in the means of healthy individuals, premalignant individuals, and CRC groups from luminescence and biosensing datasets were assessed by means of non-parametric Mann–Whitney U testing. p values < 0.05 were considered statistically significant. Individual autoantibodies against each indicated proteoform were evaluated as plasma markers in premalignant individuals, CRC patients, and control individuals, by ROC curve using the R program (version 3.2.3) with the “Epi”, “ModelGood”, and “pROC” R packages to calculate the corresponding AUC (area under the curve), the maximized sensitivity and specificity values, and the threshold (cut-off value) for all indicated comparisons.
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