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31 protocols using prism 7.00 for windows

1

Gene Expression Statistical Analysis

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Data were analyzed by non-parametric non-paired two-tailed Mann-Whitney U statistical tests using with GraphPad Prism 7.00 for Windows, (GraphPad Software, La Jolla CA). Data are expressed as mean ± SEM. Differences were considered significant (*) when P <0.05 and non-significant (n.s.) when P>0.05. The number of biological replicates (N) and statistical tests performed were based upon previous experience and in consultation with statisticians in NIAID’s Bioinformatics Services Branch (NIAID, NIH). For gene expression analysis, sample sizes were determined based upon recommendations of staff of the Frederick National Laboratory for Cancer Research Sequencing Core Facility (NCI, NIH). Differences were considered significant when false discovery rate (FDR) <0.10.
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2

Metacestode development in Echinococcus multilocularis

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Echinococcus multilocularis primary cells were cultured in 96-well culture plates (Sarsteadt, Nuembrecht, Germany) with 200 µl conditioned medium (c-DMEM-A and c-DMEM-B 1:1, described in [33 (link)]) under a nitrogen atmosphere. Medium was supplemented with different concentrations of serotonin (1, 10 or 100 µM). The number of fully developed metacestode vesicles was determined by light microscopy after 2 weeks of cultivation. Three independent experiments with each three replicates were performed. The number of developed metacestode vesicles was normalized to the control of each experiment. Normalized data were statistically analyzed using GraphPad Prism 7.00 for Windows (GraphPad Software, La Jolla, CA, USA), using a Kruskal–Wallis test with a Dunn’s multiple comparisons test to compare all concentrations with the control.
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3

Rigorous Statistical Analysis of Experiments

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Experiments were performed at least three times, unless otherwise stated. Blots and images show representative examples. Statistical analysis was carried out using GraphPad Prism 7.00 for Windows (GraphPad software, LA Jolla, CA). The data were first tested for normality. Where appropriate, one-way or two-way ANOVAs were carried out, as indicated in the Figure legends, followed by the indicated post-hoc tests. Statistical significance was set at a p-values < 0.05.
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4

Factorial Analysis of In Ovo Injection

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Performance and mortality data were evaluated by analysis of variance by 2-way ANOVA, in a 3 × 2 factorial design that included in ovo injection (GOS, S, or C) and ambient temperature condition (HS or TN) as factors. Pen was considered as biological replicate (n = 6). Post hoc comparisons between groups were performed with Tukey's HSD test. Differences were considered significant at P < 0.05. FPD were analyzed by chi-square test. Analyses were performed in SAS software (SAS Institute Inc., Cary, NC, USA). Figures were created in GraphPad Prism 7.00 for Windows (GraphPad Software, La Jolla California USA, www.graphpad.com).
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5

Cytotoxicity Evaluation of Novel Compounds

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The obtained results are from three independent experiments with cells from different batches. Compounds concentration data are presented as mean ± standard deviation (SD). Flow cytometry and immunoblotting data are presented as mean ± standard error of the mean (SEM). Different treatments were compared by one‐way analysis of variance (ANOVA) followed by Tukey post hoc test (parametric data). Statistical analyses were carried out using SigmaStat software version 3.5 for Windows (Systat Software, Inc., Point Richmond, CA, USA). Statistically significant differences were considered for p‐values less or equal than 0.05 (p < .05). The symbol * in the figures and the upper case letters (A, B, C, and D) in the table indicate statistically significant differences between the means. The graphs were carried out using GraphPad Prism 7.00 for Windows (GraphPad Software, La Jolla, CA, USA).
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6

Cardiac Function in Burn Patients

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Prior to enrollment, a power analysis was carried out to determine the
number of subjects needed to demonstrate differences in systolic function from
healthy controls. Based on a normal EF% of 60±20%, a
hypothesized effect size of 15%, a type-I error rate (α) of
0.05, and power (1-β) of 0.8, it was determined that 39 burn subjects
would need to be enrolled to detect a statistically significant differences in
EF%. All analyses were carried out with R 3.3 for Windows (Vienna,
Austria) or Graphpad Prism 7.00 for Windows (La Jolla, CA). Student’s
t-test and one-way ANOVA were used to compare continuous outcomes. Standard
univariate and multivariate least-squares regression models were fit to
continuous responses. As necessary, predictors and responses were transformed to
allow for better fitting of the model assumptions. For categorical outcomes,
logistic regression models were fit; inference was based on comparisons of
deviances among hierarchically fit models. Multi-variable logistic regression
models were fit and assessed using standard generalized linear model functions
in R. All data are reported as mean ± SD unless otherwise noted. For all
analyses, statistical significance was reported with p < 0.05.
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7

Transcript Normalization and Disease Analysis

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Transcript data was normalized by performing background subtraction and normalizing to the geometric mean of the internal positive controls and to the geometric mean of 5 housekeeping genes. The normalized data was analyzed using Kruskal-Wallis test with Dunn's multiple comparisons test. Disease probability scores were calculated using an established algorithm (17 (link)). Statistical analysis of clinical characteristics of patients was performed with Fisher's exact test. All statistical tests were performed using python 3.5.2 with the following modules: scipy 0.18.1, numpy 1.11.1, pandas 0.18.1, scikit-learn 0.18, and matplotlib 1.5.3, or IBM SPSS Statistics for Windows, Version 23.0 (Armonk, NY), or GraphPad Prism 7.00 for Windows (La Jolla, CA).
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8

Nonparametric Analysis of Pilot Study

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Due to the relatively small sample size in the pilot study, we analyzed all variables using a nonparametric approach. Descriptive statistics were expressed as median and 95% CI. Percentage (%) changes ([after value-before value]/[before value] × 100) in the MCQ and MST were calculated. Differences between groups were analyzed using the Wilcoxon signed-rank test or the Mann-Whitney U test as appropriate. Categorical variables were analyzed using Fisher exact test. Effect size and 95% CI were estimated using the Hodges-Lehmann method for Mann-Whitney U test and Wilcoxon signed rank test and odds ratio calculation Fisher exact test to improve the quality of the reporting of our results. Statistical analyses were performed using G*Power 3.1.9.2 software (Heinrich-Heine University, Dusseldorf, Germany), Graph Pad Prism 7.00 for Windows (Graph Pad Software Inc., San Diego, CA, USA), and IBM SPSS Statistics 23.0 (IBM Corporation, Armonk, NY, USA).
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9

Effect of Antidepressants on Metacestode Vesicles

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Metacestode vesicles were cultured in a 12-well-plate with 2 ml c-DMEM-A [33 (link)] supplemented with the SSRI paroxetine (1, 10 or 100 µM) or 4-chloro-dl-phenylalanine (1, 10 or 100 µM). The structural integrity of metacestode vesicles was determined by light microscopy and the number of damaged vesicles was counted. Experiments were performed with three biological replicates. The percentages of structurally affected metacestode vesicles were used for statistical analysis with GraphPad Prism 7.00 for Windows (GraphPad Software) using a two-way, repeated measurements (for the time factor) ANOVA with a Dunnett’s multiple comparisons test for each time point, comparing all concentrations with the control.
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10

Statistical Analyses for Experimental Data

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Statistical analyses were calculated using two-tailed Student’s t test in GraphPad Prism 7.00 for Windows (GraphPad Software, La Jolla California USA) and considered to be statistically significant at p < 0.05. For all bar graphs with experimental replicates, individual data points are shown and the height of the bars represents the mean ± SEM (error bars). Experiment-specific statistical details can be found in respective figure legend. For experiments with multiple replicates, each measurement was taken from an independent sample.
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