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Office excel 2007

Manufactured by GraphPad
Sourced in United States

Office Excel 2007 is a spreadsheet software application developed by Microsoft. Its core function is to create, edit, and manage spreadsheets, allowing users to organize, analyze, and visualize data.

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13 protocols using office excel 2007

1

Statistical Analysis of Case-Control Data

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Data were first entered into Microsoft Office Excel 2007 and GraphPad Prism 3.02 program was used to analyze the data. The values were expressed as mean ± standard deviation (mean ± SD). Student’s t-test was used for comparison of means of variables between case and control subjects. The level of statistical significance was set at P<0.05 for all tests and at 95% confidence interval.
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2

Statistical Analysis of Neural Activity

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One-way, two-way or repeated measures ANOVA or t-tests were performed depending on the experiment. One-way and two-way ANOVA test for spontaneous and oscillatory activity analysis performed by comparison between groups and within groups with Tukey post hoc test. Statistical analysis was performed in Microsoft Office Excel 2007, GraphPad Prism 6 or with IBM SPSS Statistics v.21. Data are presented as mean ± standard error of mean (SEM).
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3

Statistical Analysis of Experimental Data

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Data analysis and graphing was performed in Microsoft Office EXCEL 2007 and GraphPad Prism 4.0c. The class membership analysis [16 ] was performed at Statistika Forskningsgruppen Stockholm, Sweden using STATA® (STATACorp LP, Texas, USA). All statistical analyses were performed in a 95% confidence interval.
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4

Quantifying NOL6 Expression in Tumor Staging

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The experimental data were demonstrated as mean ± standard deviation (SD), and the statistical significance of the differences between groups was examined by the Student’s t-test; expression of NOL6 and pathological stage of tumor was analyzed by Mann-Whitney U test. All data was processed by Microsoft Office Excel 2007, and charts were drawn with GraphPad prism (Version 8.0.2). P-value less than 0.05 were considered statistically significant.
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5

Comparative Analysis of Biomarker Expression

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All data are presented as mean ± standard error of the mean (SEM), where appropriate. p values were calculated using Student's unpaired t-tests (two-tailed distribution). Statistical significance was considered as p < 0.05 (one star), p < 0.01 (two stars) or p < 0.001 (three stars). All analysis was performed on Microsoft Office Excel 2007 or Graph pad Prism (v 5). All graphs were produced on MS Excel or Graph pad Prism (v 5). One-way analysis of variance (ANOVA) was used to determine significant difference between two or more independent groups.
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6

Comparative Analysis of Microbial Metabolic Pathways

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Statistics on the relative abundances of selected monoamine biosynthetic pathways (K numbers: KEGG orthology groups) or taxa between sample groups was performed with SciPy (http://www.scipy.org) using a non-parametric Mann–Whitney U (MWU) test with Bonferroni correction for (i) multiple comparisons across all microbial taxa in all levels of phylogenetic classification (in analyses of phylogenetic composition), or (ii) across all pathways of the same KEGG hierarchical pathway level (in analyses of predicted functionality), unless stated otherwise. Relative abundance of taxa was correlated with relative abundance of enzymes/reactions (i.e. K numbers) using Spearman correlation. Subsequently, we repeated this analysis with multiple regression (in SPSS, see above) to assess the unique contribution of taxa to the predicted reaction of interest, using the 16S-based taxa as predictors and the enzymes/reactions predicted to be present in those taxa (by PICRUSt), as dependent variables. For any additional downstream sequencing-related data analysis, figures, and statistics, Microsoft® Office Excel® 2007 and GraphPad Prism version 5.03 were used.
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7

Statistical Analysis of Biological Experiments

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All experiments were performed in at least two technical repeats. Plots and histograms were generated with Microsoft Office Excel 2007, while box-plots were created with Prism 6 [version 6.04 (Trial), GraphPad]2. Values of the standard error of the mean (SEM) were calculated from the raw data and were used for error bars on graphs. Comparison between two sets of measures was performed using Mann–Whitney test (two-tailed, 95% confidence level: ***P < 0.001, **P < 0.01, *P < 0.1).
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8

Flow Cytometry Evaluation of Cell Populations

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All data is presented as the mean ± standard error of the mean (SEM) of at least three independent experiments. All data was analyzed using Microsoft® Office Excel 2007 and imported into GraphPad Prism 5 for plotting and statistical evaluation. Statistical analysis was performed using a one-way analysis of variance (one-way ANOVA) with post-hoc testing by Tukey’s Multiple Comparison test. An alpha-value <0.05 was regarded as statistically significant, with p < 0.001 = ***, p < 0.01 = **, and p < 0.05 = *. FACS data was analyzed using FACSDiva v6.1.2 (BD Biosciences).
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9

Assessing Diagnostic Accuracy of Parasitological and Molecular Tests

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The database was built in Microsoft Office Excel 2007 spreadsheets and analyzed using GraphPad Prism version 6.0 (San Diego, CA, USA) or Open Epi software version 3.0 (29 ). The positivity, sensitivity, specificity, and accuracy rates of the parasitological and molecular tests were calculated using the Open Epi software. The chi-square test was used for comparisons between proportions considering a 5% significance level (30 ). The degree of agreement between diagnostic tests was determined by the Kappa index and interpreted according to Landis & Koch (31 (link)). Correlations between epg from the KK and Ct from the qPCR test results were tested using the Spearman’s coefficiency of correlation.
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10

Robust Statistical Analysis of Experiments

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Data were mean + SEM. All experiments were done independently at least three times. All statistical analyses were conducted using Office Excel 2007 and GraphPad Prism 5. Two-tailed Student’s t tests were used for comparisons between two groups and one-way ANOVA with Newman-Keuls post hoc test for more than two groups. Differences were considered to be significant when a p value is less than 0.05.
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