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,
log2_count = FALSE,
start_from_zero = FALSE
)
normalized expression dataframe, with genes as rownames and conditions as colnames.
character vector of genes to be plotted (must be contained in the rownames of data)
conditions to be shown on expression levels (must be contained in the column names of data before the _rep suffix). Default : all conditions.
size of the facet plot title font for each gene. Default : 12
transform count using the log2 function. A pseudocount of 1 is added to avoid negative values.
set the beginning of the y axis to 0.