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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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APA: Copy

MOLLALO, M., & ZARE MIRAKABAD, F. (2016). MOTIF FINDING IN UPSTREAM REGULATORY REGIONS OF CO-EXPRESSED GENES USING CUCKOO OPTIMIZATION ALGORITHM AND SIMULATED ANNEALING. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 46(3 (77)), 333-344. https://www.sid.ir/en/journal/ViewPaper.aspx?id=525546



Vancouver: Copy

MOLLALO M., ZARE MIRAKABAD F.. MOTIF FINDING IN UPSTREAM REGULATORY REGIONS OF CO-EXPRESSED GENES USING CUCKOO OPTIMIZATION ALGORITHM AND SIMULATED ANNEALING. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING. 2016 [cited 2022August09];46(3 (77)):333-344. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=525546



IEEE: Copy

MOLLALO, M., ZARE MIRAKABAD, F., 2016. MOTIF FINDING IN UPSTREAM REGULATORY REGIONS OF CO-EXPRESSED GENES USING CUCKOO OPTIMIZATION ALGORITHM AND SIMULATED ANNEALING. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, [online] 46(3 (77)), pp.333-344. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=525546.



 
 
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