visualizeGenes {EBSEA} | R Documentation |
Produces a visualization summarizing the normalized read count in each sample group and expression difference across the expressed exons.Top panel contains the log2 fold-change for each expressed exon. Asterisk denotes the significance level (*: < 0.05, **: < 0.01). Bottom panel shows the averaged normalized read count for each sample group. The title of the figure shows the gene name and the adjusted gene-level p-value (fdr)
visualizeGenes(gene, ebsea.out)
gene |
Gene name matching the input data. |
ebsea.out |
Plots the mean count and fold-change the exons of the specified gene. |
Plots the mean count and fold-change across the exons of the specified gene.
data(exonCounts) group <- data.frame('group' = as.factor(c('G1', 'G1', 'G1', 'G2', 'G2', 'G2', 'G2'))) row.names(group) <- colnames(exonCounts) design <- ~group ebsea.out <- EBSEA(exonCounts, group, design) visualizeGenes('FBgn0000017', ebsea.out)