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Means were separated using Duncan's multiple range procedure.
Wound healing and tubule formation in figures five and six were analyzed by using 2 controls, 3 scNT-N and 6 scNT-MUC samples with three replicates and the statistical significance was calculated by ANOVA and confirmed by Duncan's multiple range procedure.
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Differences in the means were analysed for their statistical significance with the one-way ANOVA combined with a multiple-comparisons procedure (Scheffe multiple range test).
Multiple levels of main effects were compared by multiple range tests using the Tukeys HSD procedure at the 5% significance level.
Mean values were compared by Duncan multiple range test (P < 0.05) and Corr procedure was used to calculate the correlation coefficients.
SAS v.8.02 software (SAS Institute, Cary, NC, USA) was used to analyze the significance of differences for the different methylation levels among various tissues was analyzed by the ANOVA procedure and Duncan's multiple range test.
PDT and real-time data were analyzed with Duncan's multiple range tests, using the general linear model procedure in SAS SAS Institutee, Inc., Cary, NC, USA).
The proposed procedure identifies missing areas from multiple range images (scanning data), and attempts to locate additional scanning orientations to fill the missing areas.
Study group means were compared using the general linear models procedure followed by Duncan's multiple range test.
First, we used multiple range test and Fisher's least significant difference (LSD) procedure to discriminate the means of the genetic distances of 9 species pairs among 7 genes.
Analysis of variance with the general linear model procedures, means comparison by Duncan's multiple range test and the Pearson's correlation analysis were performed according to Statistical Analysis System, SAS 9.1 for windows (SAS Institute, Cary, NC).
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