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If such genes are constitutively expressed and therefore escape differential expression analyses, they remain elusive.
Differential expression analyses were carried out with respect to 16358 skin-expressed genes.
Differential expression analyses were performed using edgeR52.
Ritchie, M. E. et al. limma powers differential expression analyses for RNA-sequencing and microarray studies.
Ritchie, M. E. et al. Limma powers differential expression analyses for RNA-sequencing and microarray studies.
Ritchie, M.E. et al. limma powers differential expression analyses for RNA-sequencing and microarray studies.
Ritchie ME et al. (2015) limma powers differential expression analyses for RNA-sequencing and microarray studies.
Lin, Y. et al. Comparison of normalization and differential expression analyses using RNA-Seq data from 726 individual Drosophila melanogaster.
To further explore the details that define this divergence between healthy tissue and NAT, we performed differential expression analyses across tissue types.
Transcript abundance was estimated internally in STAR using the algorithm of HT-Seq and differential expression analyses were performed using the DESeq2 packages48,49.
The proposed mechanism of selecting appropriate houskeeping genes for inter-dataset normalization is robust and accurate for differential expression analyses.
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