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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/8563
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タイトル: | Prediction of human microRNA hairpin using only positive sample learning |
著者: | Tran, Dang Hung Tho, Hoam Pham Satou, Kenji Ho, Tu Bao |
キーワード: | MicroRNA Hairpin One-class SVM |
発行日: | 2008-08 |
出版者: | Scientific Research Publishing |
誌名: | Journal of Biomedical Science and Engineering |
巻: | 1 |
号: | 2 |
開始ページ: | 141 |
終了ページ: | 146 |
DOI: | 10.4236/jbise.2008.12023 |
抄録: | MicroRNAs(miRNA) are small molecular non-coding RNAs that have important roles in the post-transcriptional mechanism of animal and plant. They are commonly 21-25 nucleotides (nt) long and derived from 60-90 nt RNA hairpin structures, called miRNA hairpins. A larger number of sequence segments in the human genome have been computationally identified with such 60-90 nt hairpins, however a majority of them are not miRNA hairpins. Most existing computational methods for predicting miRNA hairpins are based on a two-class classifier to distinguish between miRNA hairpins and other sequence segments with hairpin structures. The difficulty of these methods is how to select hairpins as negative examples of miRNA hairpins in the training datasets, since only a few miRNA hairpins are available. Therefore, these classifiers may be mis-trained due to some false negative examples of the training dataset. In this paper, we introduce a one-class support vector machine (SVM) method to predict miRNA hairpins among the hairpin structures. Different from existing methods for predicting miRNA hairpins, the one-class SVM classifier is trained only on the information of the miRNA class. We also illustrate some examples of predicting miRNA hairpins in human chromosomes 10, 15, and 21, where our method overcomes the above disadvantages of existing two-class methods. |
Rights: | Copyright (C) 2008 Scientific Research Publishing. Dang Hung Tran, Tho Hoan Pham, Kenji Satou, Tu Bao Ho, Journal of Biomedical Science and Engineering, 1(2), 2008, 141-146. http://dx.doi.org/10.4236/jbise.2008.12023 |
URI: | http://hdl.handle.net/10119/8563 |
資料タイプ: | publisher |
出現コレクション: | a10-1. 雑誌掲載論文 (Journal Articles)
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