The mRNA and/or protein expression levels of Prx1, α3 nAChR, α7 nAChR, E-cadherin, vimentin, Snail, IκBα and NFκB, and the data from the invasion and wound healing assays were compared by Student's t-tests. All statistical analysis was carried out using SPSS Software for Windows 17.0. Differences were considered statistically significant at P < 0.05. All P values were two-sided.
Spss software for windows 17
Manufactured by IBM
Sourced in United States
SPSS software for Windows 17.0 is a statistical analysis software package developed by IBM. It provides a comprehensive set of tools for data manipulation, analysis, and visualization. The software is designed to work on the Windows operating system.
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Lab products found in correlation
9 protocols using spss software for windows 17
1
Transcriptional Regulation in Cell Invasion
2
Evaluation of Protein Expression
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All data are expressed as means± standard deviation (SD). The data between two groups were analyzed by the Student’s t-test. The data between multiple groups were analyzed using One-way analysis of variance (ANOVA). P <0.05 was considered statistically significant. Statistical analysis was performed using the SPSS software for Windows 17.0 (SPSS Inc., Chicago, IL, USA).
3
Statistical Analysis of Variance
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The data were expressed as mean±SD. The variance was analyzed using the SPSS software for Windows 17.0 using one-way analysis of variance (ANOVA) or t-test. P<0.05 was considered to be statistically significant.
4
Statistical Analysis of Cell Invasion
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SPSS software for Windows 17.0 (SPSS Inc., Chicago, USA) was used to conduct statistical analyses. Student's t test was used to analyse differences in cell invasion and migratory. Analysis of variance of repeated measures was used to evaluate the RTCA results and the tumour growth curves in nude mice. One‐way ANOVA analysis was performed on the colony formation assay. P values < 0.05 were considered significantly.
5
Oxidative Stress Biomarkers Analysis
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The expression levels of Prx1, HO-1, NF-κB and 8-OHdG, and data from ROS production, pimonidazole staining, immunofluorescence and NF-κB DNA binding activity were analyzed and compared using one-way analysis of variance (ANOVA). All statistical analysis was carried out using SPSS Software for Windows 17.0. Differences were considered statistically significant at P<0.05. All P values were two-sided.
6
Statistical Analysis of Experimental Data
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The SPSS software for Windows 17.0 was used for statistical analysis. Quantitative data are reported as means ± standard deviations (SD). An independent t-test was performed to compare the two groups. Spearman correlation analysis was used to investigate the relationships between the different parameters. A P value <0.05 was considered statistically significant.
7
Analyzing Gender and Age Effects on MBL Levels
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Data were analyzed using the SPSS software for Windows 17.0 (2007). To evaluate the effects of group and gender on MBL variables we used the nonparametric Mann-Whitney test. A Spearman correlation was performed todetermine if MBL levelwas relatedto age. Results were considered statistically significant when the P value was not more than 5% (P ≤ 0.05).
©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (4): 19094-19101 (2015)
©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (4): 19094-19101 (2015)
8
Correlation Analysis of Odor Compounds
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Correlation analyses were performed with SPSS 17 software for Windows. Correlation analysis was used to test the linear correlation relation among odor concentration, chemical classes, and special compounds. The value of r2 was obtained with the values calculated at 95% and 99% confidence levels by the regression model. Origin 16 software was utilized to draw the diagrams.
9
Statistical Analysis of Experimental Data
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Statistical analysis used the SPSS® 17 software for Windows® (SPSS Inc., Chicago, USA). We have reported results as mean and standard deviation and count (percentages). Difference between groups was assessed with the use of student t-test and equivalents for quantitative variables and chi-square tests and equivalents for qualitative variables. The level of significance was set at p <0.05.
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