Paper Information

Journal:   TABRIZ JOURNAL OF ELECTRICAL ENGINEERING   FALL 2016 , Volume 46 , Number 3 (77); Page(s) 333 To 344.
 
Paper: 

MOTIF FINDING IN UPSTREAM REGULATORY REGIONS OF CO-EXPRESSED GENES USING CUCKOO OPTIMIZATION ALGORITHM AND SIMULATED ANNEALING

 
 
Author(s):  MOLLALO M., ZARE MIRAKABAD F.*
 
* FACULTY OF COMPUTER SCIENCE & MATHEMATICS, AMIRKABIR UNIVERSITY OF TECHNOLOGY, TEHRAN, IRAN
 
Abstract: 

In this paper, a novel hybrid algorithm is represented named SA-COAMF by using cuckoo optimization algorithm, simulated annealing and expected maximization for motif finding problem. SA-COAMF is very efficient in global optimal convergence. In the algorithm, two models of motif representation, consensus and probability matrix representations, are applied to take the advantage of them. SA-COAMF is run on experimental datasets (SCPD database). The results are compared with some well-known algorithms (GA- DPAF, PSO+ and MEME) to show that our algorithm is efficient.

 
Keyword(s): CUCKOO OPTIMIZATION ALGORITHM, SIMULATED ANNEALING ALGORITHM, COEXPRESSED GENES, MOTIF FINDING, EXPECTED MAXIMIZATION
 
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