.corr_distribution_prot {proBatch} | R Documentation |
Transform square correlation matrix into long data frame of correlations
.corr_distribution_prot(data_matrix, peptide_annotation, protein_col, feature_id_col)
data_matrix |
features (in rows) vs samples (in columns) matrix, with feature IDs in rownames and file/sample names as colnames. Usually the log transformed version of the original data |
peptide_annotation |
df with petpides and their corresponding proteins |
protein_col |
the column name in |
feature_id_col |
column in |
dataframe with peptide correlation coefficients
that are suggested to use for plotting in
plot_peptide_corr_distribution
as plot_param
: