This function plots expression of X and Y marker genes, XIST and UTY respectively, and colors each sample by the sex- or gender-specific labeling from the metadata. This is a handy check to determine if samples were swapped or mislabeled.

plot_sexcheck(clean_metadata, count_df, biomart_results, sex_var)

Arguments

clean_metadata

A data frame with sample identifiers as rownames and variables as factors or numeric as determined by "sageseqr::clean_covariates()".

count_df

A counts data frame with sample identifiers as column names and gene Ids are rownames.

biomart_results

Output of "sageseqr::get_biomart()". Gene Ids are stored as rownames.

sex_var

Column name of the sex or gender-specific metadata.