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For data analyses, quality control assessments, data processing, and statistical analyses were conducted using the package from the Bioconductor project [ 22] as indicated below.

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Statistical analysis to determine which genes are differentially expressed was carried out using the package Limma from the Bioconductor project.

Heat maps were generated using the package HeatPlus from Bioconductor and simple hierarchical clustering was used to cluster samples on the basis of their expression profiles.

If you replace a toner cartridge, please use the packaging from the new cartridge to recycle the old one.

Statistical power was estimated using the package "genetics 1.2.1" from R (www.r-project.org).org

For the estimation of the GLMM we used the package "lme4" from the freely available statistical software R (version 2.10.0) [ 21, 22].

To test for the presence of statistically significant (significance level < 0.05) joinpoints and to estimate their value, we used the package "ljr" from the CRAN repository [ 31].

Differentially methylated probes in the Illumina Infinium HumanMethylation27 BeadChip array from each comparison were identified using the siggenes package from R software with a cutoff of <0.1% FDR.

Frailty models were treated as a penalized Cox model [ 15] and were estimated using the survival package from R software.

Raw data were imported into the R statistical package [ 23] and processed using the 'marray' package from Bioconductor [ 24].

The intensity values were normalized using the oligo package from R statistics software [ 48].

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