Identifies the most important KO pathways or protein domains in the whole database. And print back a profile of the protein domains that have higher contributions.
get_subset_pca(tibble_rbims, cos2_val = NULL,
analysis = c("KEGG", "Pfam", "INTERPRO", "dbCAN", "MEROPS"))a tibble object, created with the read_interpro, mapping_ko or get_subset_* functions.
a numeric vector from 0 to 1 indicating the proportion of contribution used as cut off. Default is 0.98. See get_pca.
a character string indicating the annotation database to use. Valid options are: "KEGG", "Pfam", "INTERPRO", "dbCAN", or "MEROPS". Default: c("KEGG", "Pfam", "INTERPRO", "dbCAN", "MEROPS")
This function is part of a package used for the analysis of bins metabolism.
#get_subset_pca(ko_bin_mapp, analysis="KEGG")