Preprocessing# The preprocessing module is used to perform initial data transformation and quality control on the data. Transformations Module Name: transformation calculate_iBAQ() collapse_rows() exp_semi_col() expand_site_table() log() make_sim_score() merge_semi_cols() Normalization cyclic_loess() norm_to_prot() quantile_norm() vsn() Imputation dima() imp_min_prob() imp_seq() Filtering cleaning() filter_loc_prob() filter_seq_cov() filter_vv() remove_non_quant() Data handling download_from_ftp() fetch_from_pride() read_csv() to_csv() Seqeunce annotation for data preprocessing annotate_phosphosite() get_subcellular_loc() go_annot() motif_annot() to_canonical_ps()