Index A | B | C | D | F | G | M | O | P | R | S | T | U A add_dna_sequence() (in module cell2net.preprocessing) add_gene_tss_coord() (in module cell2net.preprocessing) add_peaks() (in module cell2net.preprocessing) add_variants_to_sequence() (in module cell2net.preprocessing) B binarize() (in module cell2net.preprocessing) C calculate_depth() (in module cell2net.preprocessing) causal_var_enrichment_in_peaks() (in module cell2net.evaluation) collapse_consecutive_values() (in module cell2net.preprocessing) D dinucleotide_shuffle_one_hot() (in module cell2net.preprocessing) dinucleotide_shuffle_str() (in module cell2net.preprocessing) F filter_motifs_by_genes() (in module cell2net.preprocessing) fragment_to_bigwig() (in module cell2net.preprocessing) fragments_to_coverage() (in module cell2net.preprocessing) G get_dataloader() (in module cell2net.prediction.data) get_gene_tss_coord() (in module cell2net.preprocessing) get_motifs_from_jaspar() (in module cell2net.preprocessing) M match_motif() (in module cell2net.preprocessing) O one_hot_to_seq() (in module cell2net.preprocessing) P peak_attr() (in module cell2net.interpretation) peak_to_gene() (in module cell2net.interpretation) (in module cell2net.preprocessing) R random_seq() (in module cell2net.preprocessing) S seq_attr() (in module cell2net.interpretation) seq_to_one_hot() (in module cell2net.preprocessing) split_fragments() (in module cell2net.preprocessing) T tf_attr() (in module cell2net.interpretation) tf_to_gene() (in module cell2net.interpretation) (in module cell2net.preprocessing) U update_sequence_with_variants() (in module cell2net.preprocessing)