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Prism 6.02 for windows

Manufactured by GraphPad
Sourced in United States

GraphPad Prism 6.02 for Windows is a software application designed for data analysis and scientific graphing. The software provides a comprehensive set of tools for researchers and scientists to analyze, visualize, and present their data effectively.

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10 protocols using prism 6.02 for windows

1

Skeletal Muscle Protein Synthesis and Gene Expression

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Results are reported as mean (SE) unless otherwise stated. Protein synthesis and gene expression data were analyzed by two-way repeated-measures (RM) ANOVA (SigmaPlot 12.3, Systat Software Inc, San Jose, CA, USA) and Student-Newman-Keuls (SNK) post hoc test with correction for multiple comparisons. Significant effects of group (CON vs. RA) or biopsy and interaction (group × biopsy) are shown on graphs at a significance level of p < 0.05. P values ≤0.1 are also shown on graphs, for trends. All mRNA data were log-transformed for statistical analyses and shown as geometric mean ± back-transformed SE. For some mRNA targets, the pattern of missing data led to exclusion of subject pairs from the statistical analyses, resulting in exclusion of the following number of subject pairs; IL1β = 4; IGF-IEc = 1; IL1R = 1; cmet = 1. All other data (with only a single data point per subject) were compared by a paired two-tailed t test (Prism 6.02 for Windows, GraphPad Software Inc, La Jolla, CA, USA). Plasma ELISA data were log-transformed for statistical analyses.
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2

Statistical Analysis of Quantitative Data

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GraphPad Prism 6.02 for Windows was used for statistical analyses. Quantitative data were analyzed using Student's t test or ANOVA with Dunnett's multiple comparison test. A P <0.05 was considered significant.
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3

Statistical Analysis of Biological Data

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All statistical analyses were performed using Prism 6.02 for Windows (GraphPad Software Inc, La Jolla, CA, USA), except those for microbiome data, which were performed using R v3.6.1 (R Core Team). All results are presented as mean and standard error. Statistical analysis was based on the recommendations of the OECD guidance document N 116 (OECD GD 116, 2012) . The normality of the data was evaluated using the Shapiro-Wilk normality test. For data normally distributed, one-way ANOVA followed by multiple comparison test followed by Dunnett's test was used. Data not following normal distribution or data consisting of percentages were analyzed by Kruskal-Wallis ANOVA by ranks test followed by Dunn's posthoc test for multiple group comparisons. Fisher's exact test was used to evaluate the incidence of morphological alterations in blood cells. When comparing only two experimental groups (negative and positive controls in genotoxicity analyses, and exposed versus non-exposed in hyperspectral analyses) unpaired Mann-Whitney Utest was used. For microbiome analyses, PERMANOVA tests with 999 permutations were used to determine whether between-groups distances were significantly different with Weighted and Unweighted Unifrac. In all cases, groups were considered significantly different when the p value <0.05.
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4

Statistical Analysis of Experimental Data

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Statistical analyses were conducted using IBM SPSS Statistics version 19 for Windows (SPSS Inc., Chicago, IL, United States) and GraphPad Prism 6.02 for Windows (GraphPad Software Inc., San Diego, CA, United States). Normality tests were performed on all data sets to determine parametric and non-parametric data. All parametric data (metabolic data, MPO activity and villus height/crypt depth measurements) was analysed using one-way ANOVA with Tukey post hoc test. Non-parametric data (DSS and DAI) was analysed using Kruskal-Wallis with Mann Whitney U post hoc test. All data were expressed as mean ± SEM with the exception of disease severity scores which were expressed as medians and range. Values of P < 0.05 were considered significant.
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5

Vitamin D and Cytokine Associations

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For normally distributed data, unpaired Student's t test was used. Pearson's correlations were used to analyze associations between cytokine and 25(OH)D levels. Cytokine, 25(OH)D levels, and a portion of phosphoflow cytometry results were non-normally distributed; therefore Mann Whitney and/or Kruskal-Wallis tests were performed when comparing multiple groups. Analyses were performed using GraphPad Prism 6.02 for Windows (GraphPad Software, San Diego, CA, USA). Multivariate logistic regression analyses were performed using SAS STAT 9.3 and R version 3.0.2 to predict the levels of serum vitamin D based on demographic and clinical information. In order to explicitly account for BMI, we conducted a nonparametric analysis of covariance, where each quantitative variable was transformed into ranks. Statistical significance was adjusted for multiple comparison testing using the False Discovery Rate method (FDR).
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6

Transepithelial Electrical Resistance Assay

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Transepithelial electrical resistance (TEER) was measured in differentiating cells using an EVOM2 epithelial volt‐ohm meter (World precision Instruments UK, Stevenage) to indicate development of tight junctions as described previously (Stewart et al. 2012b). Briefly, medium was aspirated and replaced with 1 mL growth medium in the basolateral and 0.5 mL growth medium in the apical compartment. Cultures were equilibrated in the incubator for 30 min before TEER measurement. Apical medium was then aspirated to restore ALI. TEER values of insert and medium alone wells was subtracted from the measured TEER and Ωcm2 was calculated by multiplying by the insert area. For comparison across cell lines and passage, we calculated area under curve using TEER data from days 1–28 using GraphPad Prism 6.02 for Windows (GraphPad Software, San Diego, CA).
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7

Phase 2 Pilot Study of NI-0801 in Liver Disease

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For this phase 2 pilot study, a sample size calculation estimated that with 40 patients the study would have 80% power to detect (with a 0.05 significance level) reductions from baseline of 27% and 22% in ALP and AST, respectively. All statistical tests were two sided.
The safety analysis set includes all patients who received any part of an infusion of the study drug. The evaluable analysis set is defined as the safety analysis set excluding 3 patients who did not receive the scheduled six doses of NI‐0801.
Regular interim analyses were conducted during the study estimating the percentage reduction from baseline at D85 (i.e., 2 weeks after the final NI‐0801 administration) for each of the liver function tests. A two‐tailed one‐sample t test was used to test the null hypothesis that the percentage change from baseline at D85 was equal to 0. No imputations were made for missing data.
Statistical analysis was performed using SAS software (SAS Institute, Cary, NC) and GraphPad Prism 6.02 for Windows (GraphPad Software, San Diego, CA).
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8

Optimizing Extraction Process Using Box-Behnken Design

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The Box-Behnken Design (BBD), a type of RSM, was performed using the Design-Expert Ver 8.0.6 (Stat-Ease Inc., Minneapolis, MN, USA). Three independent variables including water content (%) (A), solid (sample powder)-liquid (solvent) ratio (B) and ultrasonic irradiation time (C) were investigated at three levels (−1, 0, 1), as shown in Table 2. Data analysis were accomplished by Graph PadPrism 6.02 for Windows (Graph Pad Software, San Diego, CA, USA). The p values < 0.05 were considered significant.
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9

Associations between SLE pathogenic factors

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Associations between time to SLE classification vs. IFN-α activity, autoantibodies, and IFN-associated mediators were analyzed by Kruskal-Wallis testing with Dunn’s multiple comparison. Differences between cases and controls with respect to accumulation of autoantibody specificities and IFN-associated mediators were determined by Wilcoxon matched-pairs test. Within-individual correlations between autoantibody specificities or IFN-associated mediator levels and IFN-α activity were computed by comparing the residual variance from an unconditional means model to that of a Gaussian mixed model, where the variable of interest was included as a predictor. The resulting pseudo-R2 value is defined as (var(unconditional)-var(growth))/var(unconditional). Growth curve modeling, path analysis, analysis of covariance (ANCOVA), and random forest (RF) predictive modeling assessments were performed (supplementary methods). Analyses were performed using GraphPad Prism 6.02 for Windows (GraphPad Software, San Diego, CA, USA), SAS STAT 9.3 (SAS Institute Inc., Cary, NC, USA), and R 2.15.3 (R Foundation for Statistical Computing, Vienna, Austria).
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10

Genetic Haplotype Analysis Methodology

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For continuous variables, differences between groups were analyzed by a Student's t-test or Mann-Whitney U-test, depending on the normality of the data. A distribution of haplotypes between the studied groups was analyzed using Fisher's exact test. Tests were assumed significant whenever at 2-tailed P < 0.05. These statistical analyses were performed using GraphPad Prism 6.02 for Windows (GraphPad Software, La Jolla, CA, USA, www.graphpad.com).
Allele frequencies estimated by simple counting, Hardy-Weinberg equilibrium probability values, as well as linkage phase statistical inference from diploid data with the (Bayesian) ELB algorithm and haplotype frequencies, were obtained using the software Arlequin, version 3.01 (Excoffier L, Laval G, Schneider S. Evol Bioinform Online. 2005; http://cmpg.unibe.ch/software/arlequin3/).
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