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We highlight the potential impact of DNA damage on relevant analyses below by repeating statistical tests without suspect sequences (WOSS).
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Statistical analyses were performed by repeated t-test and by Fisher's exact test or Kruskal-Wallis test for categorical variables (StatView 5.0, SAS Institute, Cary, NC, USA).
We have repeated the analysis and validated it by statistical testing.
Statistical significance of the overall classification accuracy was determined by permutation testing, by repeating the cross-validation procedure 300 times with a different random permutation of the training group labels.
This is confirmed by the statistical test.
Letters represent statistical significance at the 95% confidence level, as tested by Student t statistical test.
Statistical tests included two-way ANOVA for repeated measures and t-test when appropriate.
Statistical tests for differential expression of genomic repeat copies were performed by the R Bioconductor DESeq package.
Data was confirmed by repeat PCR tests.
Statistical testing was by 3-factor repeated measures analysis of variance.
A general linear model with repeated measurement analysis of variance was used for statistical testing.
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