DocumentCode :
260872
Title :
Ensemble algorithms for DNA motif finding
Author :
Juho Kim ; Seunghak Yu ; Sungroh Yoon
Author_Institution :
Dept. of Electr. & Comput. Eng., Seoul Nat. Univ., Seoul, South Korea
fYear :
2014
fDate :
15-18 Jan. 2014
Firstpage :
1
Lastpage :
2
Abstract :
Understanding the regulation of gene expression is one of the major research problems in biology. An important part of this problem is to identify the binding sites in DNA for transcription factors. These binding sites are called motifs. The performance of de novo motif discovery algorithms is limited. To address the issue, ensemble methods have been proposed in order to enhance the prediction accuracy by exploiting the information obtained from multiple algorithms. This paper reviews the latest developments of integrated algorithms in DNA motif finding.
Keywords :
DNA; genetics; molecular biophysics; DNA binding sites; DNA motif finding; de novo motif discovery algorithms; gene expression; integrated algorithms; transcription factors; Bioinformatics; Boosting; Clustering algorithms; DNA; Educational institutions; Prediction algorithms; bioinformatics; computational biology; ensemble algorithms; integrated algorithms; motifs finding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Information and Communications (ICEIC), 2014 International Conference on
Conference_Location :
Kota Kinabalu
Type :
conf
DOI :
10.1109/ELINFOCOM.2014.6914361
Filename :
6914361
Link To Document :
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