The normalized counts of the desired genes in the specified conditions are shown. Please limit the number of input genes for readability reasons (up to 10 genes).
draw_expression_levels( data, genes, conds = unique(stringr::str_split_fixed(colnames(data), "_", 2)[, 1]), gene.name.size = 12 )
Arguments
| data | normalized expression dataframe, with genes as rownames and conditions as colnames. |
|---|---|
| genes | character vector of genes to be plotted (must be contained in the rownames of data) |
| conds | conditions to be shown on expression levels (must be contained in the column names of data before the _rep suffix). Default : all conditions. |
| gene.name.size | size of the facet plot title font for each gene. Default : 12 |
Examples
genes <- sample(abiotic_stresses$heat_DEGs, 4) conditions <- c("C", "M", 'H', 'SH') DIANE::draw_expression_levels(abiotic_stresses$normalized_counts, genes = genes, conds = conditions)
