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Microsoft excel

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Microsoft Excel is a spreadsheet software application that allows users to create, organize, and analyze data in tabular format. It provides a grid-based interface for entering, calculating, and visualizing data. Excel's core function is to facilitate data processing, manipulation, and presentation, enabling users to perform a variety of tasks such as budgeting, forecasting, and data analysis.

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413 protocols using microsoft excel

1

Pharmacokinetic Analysis and Statistical Evaluation

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Microsoft Excel and GraphPad Prism were used throughout the PK analysis to process the data, calculate pharmacokinetic parameters, and yield statistical information. A linear regression model was produced using the least squares fitting method with 1/x2 scaling for the assay calibrators. The AUC was determined using the linear trapezoidal rule, extended through 1 and 14 days for TQ datasets. For the G6PD deficiency model, data analysis was performed using GraphPad Prism (GraphPad Software). Mann-Whitney or one-way analysis of variance (ANOVA) with Bonferroni correction at 95% confidence intervals was used to determine differences between groups as appropriate. An F test comparing the two dose-response curves was also run. For all other work, a combination of Microsoft Excel and GraphPad Prism was used.
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2

Statistical Analysis of Experimental Data

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Data analysis was performed in Microsoft Excel and GraphPad Prism 8 (GraphPad Software, San Diego, CA, USA). Statistical significance compared to untreated control was determined using unpaired Student’s t-test on non-log-transformed data. Asterisks indicated p values as * p < 0.05, ** p ≤ 0.01, and *** p ≤ 0.005.
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3

Statistical Analysis of Research Outcomes

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Statistical significance between groups was established using a two-tailed, paired Student's t test (α = 0.05). One-way ANOVA was used to determine if the means of three independent outcomes were significant when compared (α = 0.05) followed by Tukey’s post hoc analysis to compare individual means. Calculations were performed using Microsoft Excel or GraphPad Prism 9.5 (GraphPad Software, San Diego, CA). Values are expressed as means ± SEM. Differences with P values < 0.05 were considered statistically significant.
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4

Statistical Analysis of Experimental Data

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Statistical analyses for all data except those from lifespan assays were carried out using a t test with appropriate parameters, that is, a two-tailed unequal variances t test for comparison of the unpaired control versus treatment groups. For comparing distributions between different groups in the lifespan assays, statistical calculations were performed using JMP software version 9.0 (SAS Institute), applying the log-rank test. All other calculations were performed using Microsoft Excel or GraphPad Prism 8 (GraphPad Software). p-Values are reported in detail without the use of arbitrary star ratings.
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5

Statistical Analysis of Biological Data

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Data analysis was done with Microsoft Excel and GraphPad Prism version 7.00 (GraphPad Software, La Jolla, CA, United States). Statistical significance was determined by two-tailed unpaired Student’s t-test when comparing two groups, one-way ANOVA, or two-way ANOVA wherever appropriate for experiments consisting of more than two groups. Disease and time course interaction and effects were done followed with post hoc test with wither Holm-Sidak or Fisher’s least significant difference (LSD) and are specified on each figure legends. Significance values are presented as mean ± standard error of the mean (SEM) for the in vivo experiments and mean ± SD for the in vitro experiments.
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6

Statistical Analysis of Experimental Data

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All experiments were repeated at least three times. The differences between treatment and control groups were analyzed using one-way ANOVA or unpaired two-tailed t-tests. P-values < 0.05 were considered to indicate statistical significance. All data represent the mean ± the standard error of the mean. Analyses were performed using the Microsoft Excel and GraphPad Prism 6.0.
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7

Live-cell Fluorescence Imaging of HepG2 Cells

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For live-cell fluorescence imaging microscopy, HepG2 cells were seeded on glass-bottom dishes and transfected with plasmid DNA. Twenty four hours post transfection, fresh medium was applied and cells were monitored by confocal microscope. For on-line investigations, representative cells or cell groups were selected and maintained in buffered medium at 37 °C. Concurrently with treatments, live-cell imaging was started at a rate of one picture per minute. Typically, single treatment experiments were finalised after 15 min and combined treatment experiments after 20 min. Microscopic analyses and image acquisitions were done on an LSM 700 confocal microscope (Carl Zeiss Jena GmbH, Jena, Germany), using ZEN 2012 blue edition and ZEN 2011 black edition software (Carl Zeiss Jena GmbH). Data were analysed and graphed using Microsoft Excel and Prism Software (Graph Pad, La Jolla, CA, USA). Statistical analysis was done using two-way ANOVA and either Dunnett’s or Sidak’s multiple comparisons test. α = 0.05; **p < 0.01, ***p < 0.001, ****p < 0.0001.
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8

Statistical Analysis of Biological Experiments

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All experiments were performed at least 3 times with statistical significance of different treatment groups calculated by one-way analysis of variance (ANOVA, Bonferroni multiple-comparison test) or by students’ t test. Difference were considered significant if P value was less than 0.05. Statistical analyses and graphs were made using Microsoft Excel and GraphPad Prism 7.
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9

Immunization and Gonococcal Clearance

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Data are expressed as the mean ± standard error of the mean (SEM). Data on the effect of immunization on recovery of N. gonorrhoeae after inoculation were analyzed using two-way ANOVA for repeated measures with Fisher’s protected least significant difference post-hoc tests. In addition, Kaplan-Meier analysis with log-rank tests was used to compare clearance of infection (defined as the first of 3 successive days of zero recovery) between treatment groups. For immune response data, unpaired two-tailed t tests were used to compare the mean values between two groups, or ANOVA with Bonferroni post-hoc tests was used for multiple comparisons. P <0.05 was considered statistically significant. Statistical analyses were performed using Microsoft Excel or Prism 5 (GraphPad Software, San Diego, CA).
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10

Immunization and Gonococcal Clearance

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Data are expressed as the mean ± standard error of the mean (SEM). Data on the effect of immunization on recovery of N. gonorrhoeae after inoculation were analyzed using two-way ANOVA for repeated measures with Fisher’s protected least significant difference post-hoc tests. In addition, Kaplan-Meier analysis with log-rank tests was used to compare clearance of infection (defined as the first of 3 successive days of zero recovery) between treatment groups. For immune response data, unpaired two-tailed t tests were used to compare the mean values between two groups, or ANOVA with Bonferroni post-hoc tests was used for multiple comparisons. P <0.05 was considered statistically significant. Statistical analyses were performed using Microsoft Excel or Prism 5 (GraphPad Software, San Diego, CA).
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