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Adequacy of the developed models is validated using analysis of variance (ANOVA) technique.
Second-order polynomial regression model, was applied which was statistically validated using analysis of variance.
All the results were statistically validated using analysis of variance (ANOVA).
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The significance of the developed empirical mathematical model is validated by using Analysis of variance (ANOVA).
A quadratic regression model is developed to correlate critical process variables and is validated using the analysis of variance (ANOVA) methodology.
Assessment of gene expression levels by Affymetrix microarray analysis (Affymetrix, Santa Clara, CA, USA) was validated using quantitative (q PCR analysis of selected genes showing moderate/strong or weak/no change.
The identified CNVs in this study were validated using overlapping analysis with the Database of Genomic Variants (DGV; 71.7% overlap), and quantitative PCR (qPCR).
Both methods were validated using qPCR analysis (Fig. 2) of 36 genes, including Actin and EF1A.
The SCGB2A1, CLDN3, CLDN4, TROP-2 and SCGB1D2 gene expression results in OSPC, CC, EAC, UOC and HOSE were validated using qRT PCR analysis in a total of 38 ovarian carcinomas and 14 HOSE controls.
The specificities of HPA002110 and CL0308 were further validated using western blot analysis of PODXL-overexpressing cell line lysates (Supplementary Figure 1B).
The WAIS-RC has been validated using factor analysis in a large sample of Chinese urban (N = 2029) and rural (N = 992) residents (Dai et al. 1990).
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