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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Juho Kim Seunghak Yu Sungroh Yoon |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of IT Convergence, Korea Univ., Seoul, South Korea (Seunghak Yu) || Dept. of Electr. & Comput. Eng., Seoul Nat. Univ., Seoul, South Korea (Juho Kim; Sungroh Yoon) |
| 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. |
| Starting Page | 1 |
| Ending Page | 2 |
| File Size | 136733 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781479939428 |
| DOI | 10.1109/ELINFOCOM.2014.6914361 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-15 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motifs finding DNA Clustering algorithms Ensemble algorithms Prediction algorithms Educational institutions Boosting Bioinformatics Integrated algorithms Computational biology |
| Content Type | Text |
| Resource Type | Article |
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