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137 protocols using prism software 9

1

Platelet Aggregation Dose-Response Analysis

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Dose-response curves of platelet aggregation for each baseline and intervention were constructed using a 4-parameter log-linear function in GraphPad Prism Software 9 (GraphPad). These dose-response curves of platelet aggregation were used to calculate relative parameters, including LogEC50, maximum response, minimum, and hill slope values. Comparisons of these parameters after each intervention were made using 2-way ANOVA with the Tukey multiple comparisons test. These statistical analyses were carried out using GraphPad Prism Software 9. Error bars denote SEM, and a P value of <0.05 was considered statistically significant.
Comparisons after each intervention for other assays were made using a General Linear Model (GLM), fitted to analyze time course data for study test points in order to determine individual treatment effects with fixed factors of time (repeated measures) and treatment. SPSS 24.0 software for Windows (SPSS, Inc.) was used to perform this statistical analysis. Error bars denote SEM, and a P value of <0.05 was considered statistically significant.
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2

Statistical Analysis Protocol

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Statistical analyses were performed according to the tests indicated within the figure legends using GraphPad Prism software 9.1.1 (GraphPad, La Jolla, CA, USA) or IBM SPSS Statistics software 27.0 (IBM, Armonk, NY, USA).
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3

Statistical Analysis of Experimental Groups

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The data obtained in this study were analyzed using One-way ANOVA in the GraphPad Prism software 9 (GraphPad Software, Inc., La Jolla, CA, USA). To determine the statistical significance of the differences found between the groups, Fisher’s Least Significant Difference (LSD) test was used as a post hoc test [49 (link)]. A p-value of less than 0.05 was considered statistically significant.
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4

Statistical Analysis of Experimental Data

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Graphs and analyses were generated using Microsoft Office 2019 (Microsoft Corporation, Redmond, WA, USA) and GraphPad Prism Software 9 (GraphPad Software, La Jolla, CA, USA). Data are presented as mean ± standard deviation (SD). The significance of the mean values was tested using unpaired t-test when the values were normally distributed and Mann–Whitney U-test when the values were not normally distributed. Fisher’s exact test was used when the sample size was small.
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5

Statistical Analysis of snRNA-seq Data

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All results were obtained from at least three independent experiments and expressed as mean ± SD. Student's t-test was used to compare the means between two groups, while one-way ANOVA was performed for comparisons of three or more groups, followed by an LSD test for multiple comparisons. One-way ANOVA repeated measurement analysis was used to compare repeated assessments. The p < 0.05 was considered significant. Data of snRNA-seq was analyzed on the website: https://www.omicstudio.cn. Statistical analysis and graphs generation were performed using SPSS Statistics 26 (Armonk, New York, U.S.), GraphPad Prism software 9 (San Diego, CA, USA), and website: https://app.biorender.com.
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6

Statistical Analysis of Experimental Data

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Statistical analysis was performed in GraphPad Prism Software 9 (GraphPad Software Inc.) using One-Way ANOVA or Two-Way ANOVA followed by a post-hoc Tukey’s multiple comparison test. Data are shown as mean ± SD. Significant differences are marked as *p < 0.5; **p < 0.05; ***p < 0.01, ****p < 0.001.
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7

Statistical Analysis of Experimental Groups

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Student's t‐test was used to evaluate the level of significance between the two groups with GraphPad Prism software 9 (GraphPad Software, Inc., La Jolla, CA, USA). All the data were tested for normality by “Shapiro–Wilk,” the data that do not conform to a normal distribution were subjected to a non‐parametric t‐test, while the data that conforms to a normal distribution were subjected to a parametric t‐test. The data were expressed as mean ± SEM. and p values <0.05 was considered to be significant.
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8

Biochemical Characterization of Novel Compound

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Sample sizes were chosen based on previous publications and were sufficient for statistical analysis. No data were excluded from analysis. Animals were randomly assigned to each group. Randomization was not required for biochemical and in vitro experiments. Cellular and biochemical experiments were not blinded. All statistical data are presented as means ± SD. The statistical P values were obtained using the GraphPad Prism software 9.0 (GraphPad Software, Inc. USA). Tests performed with P < 0.05 were considered statistically significant. Statistical significance is shown as *P < 0.05, **P < 0.01, ***P < 0.001, ***P < 0.0001.
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9

Student's t-test Evaluation of Significance

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The student's t‐test was used to evaluate the level of significance between the two groups with SPSS 24.0 software (Statistical Program for Social Sciences Inc., Chicago, IL, USA) and GraphPad Prism software 9 (GraphPad Software, Inc., La Jolla, CA, USA). The data were expressed as mean ± SEM and p‐values <0.05 were considered to be significant.
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10

Statistical Analysis of Experimental Data

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Statistical analysis calculations were carried out using Microsoft Excel and GraphPad Prism software 9.0. For each of the experiments, the statistical experiment was performed separately. p-values  <  0.05 was considered statistically significant. All data was expressed in the form of mean ± std error unless otherwise specified.
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