R/subset_funcs.R
los.RdSelect biomolecules for normalization via the method of the top L order statistics (LOS)
los(e_data, edata_id, L = 0.05)a \(p \times n + 1\) data.frame, where \(p\) is the number of peptides, proteins, lipids, or metabolites and \(n\) is the number of samples. Each row corresponds to data for a peptide, protein, lipid, or metabolite, with one column giving the biomolecule identifier name.
character string indicating the name of the column giving the
peptide, protein, lipid, or metabolite identifier. Usually obtained by
calling attr(omicsData, "cnames")$edata_cname.
numeric value between 0 and 1, indicating the top proportion of biomolecules to be retained (default value 0.05)
Character vector containing the biomolecules belonging to the subset.
The biomolecule abundances of the top L order statistics are
identified and returned. Specifically, for each sample, the biomolecules with
the top L proportion of highest absolute abundance are retained, and
the union of these biomolecules is taken as the subset identified.