Protein Motif Discovery from Positive Examples by Minimal Multiple Generalization over Regular Patterns

@inproceedings{Arimura1994ProteinMD,
  title={Protein Motif Discovery from Positive Examples by Minimal Multiple Generalization over Regular Patterns},
  author={Hiroki Arimura and Ryoichi Fujino Takeshi Shinohara and Setsuo Arikawa},
  year={1994}
}
Recently, several attempts have been made at applying machine learning method to protein motif discovery, but most of these methods require negative examples in addition to positive examples. This paper proposes an e cient method for learning protein motif from positive examples. A regular pattern is a string consisting of constant symbols and mutually distinct variables, and represents the set of the constant strings obtained by substituting nonempty constant strings for variables. Regular… CONTINUE READING
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