convert_to_tpm          Convert protein abundance data to TPM-like
                        normalization
create_phenoclasses     Create phenoclasses matrix for cell type
                        deconvolution
create_signature_matrix
                        Create signature matrix using CIBERSORTx
deconvolute             Deconvolute protein data using multiple
                        algorithms
deconvolute_bayesdebulk
                        Deconvolute bulk proteome data using
                        BayesDeBulk
deconvolute_cibersort   Deconvolute mixture data using CIBERSORT
deconvolute_cibersortx
                        Deconvolute using CIBERSORTx Docker image
deconvolute_epic        Deconvolute bulk data using EPIC
extract_identifiers     Extract primary identifiers from e.g. protein
                        groups
handle_duplicates       Handle duplicate identifiers in an expression
                        matrix
handle_missing_values   Handle missing values
handle_scaling          Handle scaling of protein abundance data
map_cell_groups         Map column names to cell type groups using
                        patterns
simulate_data           Simulate artifical mixtures from bulk proteome
                        measurements
unlog2_data             Convert data from log2 scale to linear scale
update_gene_symbols     Update gene symbols in a matrix to approved
                        HGNC nomenclature
