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An improved non-comparative classification method for human microRNA gene prediction

机译:一种改进的人体microRNA基因预测的非比较分类方法

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micoRNA (miRNA) is a vital class of non-coding RNA genes, which participates in post-transcriptional gene regulation in eukaryotic cell. Interestingly, some close relationships between miRNA expression levels and several human diseases like cancers have been recently uncovered. Difficulties of identifying miRNAs via direct experimental method due to their special and temporal expression patterns make the computational prediction methods paramount important. Specially, non-comparative computational methods would have the advantage of recognizing species-specific miRNAs that can be missed by comparative methods. In this paper we present a systematic development of an improved classifier system for non-comparative human miRNA gene recognition using effective machine learning techniques.
机译:Micorna(miRNA)是一种重要的非编码RNA基因类,其参与真核细胞中的转录后基因调控。有趣的是,最近发现了miRNA表达水平与癌症等几种人类疾病之间的一些密切关系。由于其特殊和时间表达模式,通过直接实验方法识别miRNA的困难使得计算预测方法至关重要。特别地,非比较计算方法将具有识别可以通过比较方法错过的特异性miRNA的优点。在本文中,我们使用有效的机器学习技术呈现了用于非比较人体miRNA基因识别的改进分类系统的系统开发。

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