MOGAMOD: Multi-objective genetic algorithm for motif discovery

Author:

Kaya Mehmet

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference36 articles.

1. Bailey, T. L., & Elkan, C. (1994). Fitting a mixture model by expectation maximization to discover motifs in biopolymers. In Proceedings of the second international conference ISMB, USA (pp. 28–36).

2. Unsupervised learning of multiple motifs in biopolymers using expectation maximization;Bailey;Machine Learning,1995

3. Approaches to the automatic discovery of patterns in biosequences;Brazma;Journal of Computational Biology,1998

4. Buhler, J., & Tompa, M. (2001). Finding motifs using random projections. In Proceedings RECOMB’01, Canada (pp. 69–76).

5. Che, D. (2005). MDGA: Motif discovery using a genetic algorithm. In Proc. GECCO’05, USA (pp. 447–452).

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