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Our ability to detect expression of genes by qPCR, most at levels well above background, in 3' amplified samples led us to hypothesize that buccal samples could be used for differential expression testing by microarray analysis.
DEGseq was used for differential expression analysis with the "Fisher's Exact Test" method44.
RMA normalization was used for differential expression (DE) analysis, as it is considered as standard for this calculation53.
Then, the DEGseq (R package) was used for differential expression analysis of all libraries.
Ontologies and pathways are essential and widely used for differential expression in pathway level [34], protein-protein interaction (PPI) analysis [35] and constructing PPI network [36].
HTSeq-DEseq workflow was used for differential expression analysis [ 84].
The statistical method used for differential expression was NOISeq [ 42].
Normalized read count data were used for differential expression analyses.
Publicly available gene expression data were used for differential expression and coexpression analyses.
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Only uniquely-mapped reads were used for differential gene expression analysis.
R code used for differential gene expression analyses is available as Additional file 8.
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