Correlation Heatmap of the Top Altered Genes

Correlation Heatmap of the Top Altered Genes

Usage

gggenecor(mutation, n_genes = 10, ...)

Arguments

mutation

Raw mutation dataframe containing alteration data

n_genes

Number of top genes to display in plot

...

Further create_gene_binary() arguments

Value

Correlation heatmap of the top altered genes

Examples

gggenecor(gnomeR::mutations)
#> ! `samples` argument is `NULL`. We will infer your cohort inclusion and resulting data frame will include all samples with at least one alteration in mutation, fusion or cna data frames
#> ! 7 mutations have `NA` or blank in the mutation_status column instead of 'SOMATIC' or 'GERMLINE'. These were assumed to be 'SOMATIC' and were retained in the resulting binary matrix.