Discriminative Motif Discovery via Simulated Evolution and Random Under-Sampling

Article English OPEN
Tao Song; Hong Gu;
  • Publisher: Public Library of Science
  • Journal: PLoS ONE,volume 9,issue 2 (issn: 1932-6203, eissn: 1932-6203)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1371/journal.pone.0087670, pmc: PMC3923751
  • Subject: Computational Biology | Algorithms | Applied Mathematics | Research Article | Biology | Molecular Cell Biology | Natural Language Processing | Proteomics | Mathematics | Medicine | Membranes and Sorting | Q | R | Computer Science | Science | Evolutionary Modeling | Sequence Analysis

Conserved motifs in biological sequences are closely related to their structure and functions. Recently, discriminative motif discovery methods have attracted more and more attention. However, little attention has been devoted to the data imbalance problem, which is one... View more
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