Unpaired t-tests or two-tailed Mann–Whitney U tests with Bonferroni–Dunn or Holm–Sidak methods to correct for multiple comparisons were performed at 95% confidence interval to determine the difference among groups. Analyses were performed using Graph Prism 9.0 (GraphPad Software), DESeq2 (ref. 34 (link)), or MATLAB version R2017b. A P value of <0.05 was considered significant for all analyses, except TIS analysis in which a P value of <0.01 was the cut-off for significance. The number of subjects tested in each experiment is indicated in the figure legends or within the individual figure panel. Microscopy images are representative of at least two independent experiments.
Graph prism 9
Manufactured by GraphPad
Sourced in United States
GraphPad Prism 9 is a data analysis and graphing software for scientific and laboratory applications. It provides a range of tools for data visualization, curve fitting, and statistical analysis. Prism 9 offers a user-friendly interface and a variety of graph types to help researchers effectively present and interpret their data.
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39 protocols using graph prism 9
1
Statistical Analysis of Experimental Data
2
Quantitative Analysis of Protein Expression
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Data analyses were performed using the GraphPrism 9.0 software (Graph Pad Software, San Diego, CA, USA). All data are presented as mean ± SEM. Image J Software (National Institutes of Health, Bethesda, USA) was used to process the density of the western blot bands and quantitative immunofluorescence analysis. The normal distribution of data was analyzed using the D’Agostino and Pearson test (p > 0.05). Correlation was analyzed using the Pearson correlation test. Differences between groups were compared by a one-way or two-way analysis of variance (ANOVA) followed by Bonferroni’s post hoc test. Statistical significance was set at *p < 0.05 or **p < 0.01.
3
Histological Evaluation of Tissue Fibrosis
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The data are presented as the mean ± standard error of mean from at least three biological replicates. Microscopic images of H&E and Masson staining were analyzed using the Ashcroft scores and the collagen volume fraction, respectively. Graph Prism 9.0 (Graphpad, San Diego, CA, USA) and Microsoft Excel 2019 (Microsoft, Redmond, WA, USA) were used for statistical analysis. One-way analysis of variance was carried out to compare the statistical differences between multiple groups and Student t testing to compare the statistical differences between two groups, where # or * indicates p < 0.05, ## or ** p < 0.01, ### or *** p < 0.001, and #### or **** p < 0.0001. Finally, Photoshop 2021 software (Adobe Systems, San Jose, CA, USA) was utilized to prepare the figures.
4
Analyzing GmLDL Gene Expression
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To examine the expression profiles of GmLDL family genes in different tissues and developmental stages of seeds, the transcriptome data of several different plant tissues and different developmental stages of seeds were downloaded from PPRD (available online: http://ipf.sustech.edu.cn/pub/plantrna/ , accessed on 20 March 2022). The expression data were gene-wise normalized and the heatmap was drawn using Graphprism 9.0 (GraphPad Software, San Diego, CA, USA).
5
Protein Quantification and Statistical Analysis
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Data analysis and graphical representation were performed using Image J and Graph Prism 9.0 software (GraphPad Inc., La Jolla, CA). The results are presented as the mean ± standard error. Intergroup differences were assessed using 1-way analysis of variance, followed by Tukey's post hoc test for pairwise comparisons. Statistical significance was defined at P < 0.05. Quantitative analysis of protein band grayscale in the Western blotting assays was conducted using Image J software. In comparison with the control group, * means a statistically significant difference (P < 0.05), ** indicates a highly significant difference (P < 0.01), *** indicates a very highly significant difference (P < 0.001), and **** indicates an extremely highly significant difference (P < 0.0001).
6
Statistical Analysis of Experimental Data
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Statistical analyses were performed using Graph Prism 9.0 (GraphPad Software, La Jolla, CA, USA). All data are presented as mean ± standard error of mean. During a comparison of 2 groups, the Student unpaired t tests were used for normally distributed data; otherwise, the Mann–Whitney U test was selected to analyze differences among nonparametric data. For comparisons between multiple groups, an analysis of variance was performed, followed by Tukey's post hoc test. Statistical significance was set at p < 0.05.
7
Cognitive Assessment in Sleep Disorders
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SPSS 20.0 (IBM, Armonk, NY) and Graph Prism 9.0 (GraphPad Software, San Diego, CA) were used to perform statistical analyses. Patients were dichotomized into the normal sleep group (PSQI ≤7) and poor sleep group (PSQI >7). MMSE scores, MoCA scores, and other cognitive assessment scores were tested using the Mann-Whitney U test. Cerebral blood perfusion values in the whole brain and respective regions were tested using the Students' t-test. MoCA and MMSE scores were compared among the two groups with distinct insomnia symptoms based on PSQI, using the Kruskal-Wallis test. Binary logistic regression analysis was used to evaluate the correlation between MoCA total score and other covariables such as educational background, PSQI, ISI, hypertension, and diabetes, etc., in which MoCA scores were dichotomized with a cut-off point of 21/22 in the model. P-value was from a two-tailed test, and a P-value at .05 was considered statistically significant. Owing to one statistical test we performed, a Bonferroni correction for multiple testing was applied. The significance level P = .05 was divided by 2 (see Supplementary material Figure S2), which provides a significance level corrected for multiple testing: P = .025.
8
Triplicates Statistical Analysis Protocol
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All experiments were carried out in three biological triplicates. The statistical analysis was carried out using the One-way and Two-way ANOVA test through Graph Prism 9.
9
Vessel Diameter Changes Analysis
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An unpaired Student’s t test was used for comparisons between the two groups. A one-way analysis of variance (ANOVA) was used to test the changes in several parameters across all vessel diameters. To perform the statistical tests, Minitab data analysis software was used, and GraphPrism 9 was used for the graphical representations. A p value less than 0.05 was considered to be statistically significant.
10
Statistical Analysis of Research Data
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SPSS 22.0 and graph prism 9 software were used for data processing and chart making. First, the data were tested for normality. Measurement data that conformed to normal distribution were expressed as mean ± standard deviation ( s), and a comparison between groups was performed using an Independent sample t-test; Measurement data with skewed distribution were expressed as the median and interquartile range (M, IQR), and comparisons between groups were performed using the Mann-Whitney U-test or the Wilcoxon matched-pairs signed rank test. The counting data is expressed in the number of cases (%), and the comparison is measured by χ2. The difference in P < 0.05 is statistically significant.
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