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

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MOLLALO M.; ZARE MIRAKABAD F.

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Paper Information

Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2016 | Volume:46 | Issue:3 (77) Page(s): 333-344

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Title

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

Author(s)

MOLLALO M. | ZARE MIRAKABAD F. | Issue Writer Certificate

Keywords

CUCKOO OPTIMIZATION ALGORITHMQ2

SIMULATED ANNEALING ALGORITHMQ2

COEXPRESSED GENESQ2

MOTIF FINDINGQ2

EXPECTED MAXIMIZATIONQ2

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.

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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. SID. https://sid.ir/paper/256461/en

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[Internet]. 2016;46(3 (77)):333-344. Available from: https://sid.ir/paper/256461/en

IEEE: Copy

M. MOLLALO, and F. ZARE MIRAKABAD, “MOTIF FINDING IN UPSTREAM REGULATORY REGIONS OF CO-EXPRESSED GENES USING CUCKOO OPTIMIZATION ALGORITHM AND SIMULATED ANNEALING,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 46, no. 3 (77), pp. 333–344, 2016, [Online]. Available: https://sid.ir/paper/256461/en

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