Research Article
An Entropy-Based Position Projection Algorithm for Motif Discovery
| Input: the dataset , motif length . | | Output: the motifs set | | (1) all the substrings length from | | (2) // the candidate set | | (3) // the qualified set | | (4) | | (5) WHILE queue is not empty DO | | (6) DEQUENE(queue) | | (7) IF < min_size | | (8) abandon c | | (9) IF min_size ≤ ≤ max_size | | (10) | | (11) IF > max_size | | (12) select position in | | (13) | | (14) ENQUENE | | (15) For each do | | (16) IF | | (17) | | (18) For each do | | (19) IF | | (20) remove from | | (21) IF can increase | | (22) add into | | (23) evaluate the PWM and . | | (24) combine the similarly | | (25) add formed by of top to . | | (26) return |
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