| Algorithm | Raw counts for the genes were analyzed using the R Statistical Computing Environment and the Bioconductor packages DESeq and edgeR. Both packages provide statistical routines for determining differential expression in digital gene expression data using a model based on the negative binomial distribution. The resulting p-values were adjusted using the Benjamini and Hochberg's approach for controlling the false discovery rate (FDR). If both FDR values (by DESeq and edgeR) were smaller than p = 0.05, genes were assigned as differentially expressed. | Description | Genes that showed increased expression after nicotic acid (NA) treatment. |
| Primary Identifier | WBPaper00044260:nicotinc-acid_upregulated |
