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| biogram-package | biogram - analysis of biological sequences using n-grams |
| add_1grams | Add 1-grams |
| biogram | biogram - analysis of biological sequences using n-grams |
| calc_criterion | Calculate criterion |
| calc_ig | Calculate IG for single feature |
| calc_kl | Calculate KL divergence of features |
| code_ngrams | Code n-grams |
| construct_ngrams | Construct and filter n-grams |
| count_multigrams | Detect and count multiple n-grams in sequences |
| count_ngrams | Count n-grams in sequences |
| count_specified | Count specified n-grams |
| count_total | Count total number of n-grams |
| create_feature_target | Create feature according to given contingency matrix |
| create_ngrams | Get all possible n-Grams |
| criterion_distribution | criterion_distribution class |
| cut.feature_test | Categorize tested features |
| decode_ngrams | Decode n-grams |
| degenerate | Degenerate protein sequence |
| distr_crit | Compute criterion distribution |
| fast_crosstable | Very fast 2d cross-tabulation |
| feature_test | feature_test class |
| gap_ngrams | Gap n-grams |
| get_ngrams_ind | Get indices of n-grams |
| human_cleave | Human signal peptides cleavage sites |
| is_ngram | Validate n-gram |
| l2n | Convert letters to numbers |
| n2l | Convert numbers to letters |
| ngrams2df | n-grams to data frame |
| plot.criterion_distribution | Plot criterion distribution |
| position_ngrams | Position n-grams |
| print.feature_test | Print tested features |
| seq2ngrams | Extract n-grams from sequence |
| summary.feature_test | Summarize tested features |
| table_ngrams | Tabulate n-grams |
| test_features | Permutation test for feature selection |