Computational identification of circular RNAs based on conformational and thermodynamic properties in the flanking introns
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- 作者：Ze Liua ; Jiuqiang Hana ; jqhan@mail.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Hongqiang Lva ; Jun Liua ; b ; Ruiling Liua
- 关键词：Circular RNA ; Competing endogenous RNA ; Support vector machine ; 10-Fold cross-validation
- 刊名：Computational Biology and Chemistry
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：61
- 期：Complete
- 页码：221-225
- 全文大小：583 K
文摘
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A computational method was proposed to distinguish circRNAs from non-circularized, expressed exons.
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Thermodynamic and conformational properties were extracted for model training.
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Two feature selection methods were used to construct the optimized feature subset.
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Our method received a high performance using 10-fold cross-validation on the training dataset.
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