Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data
Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data
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DOI：
10.1186/s13059-019-1629-z
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发表时间：
2019-01-22
期刊：
影响因子：
12.3
通讯作者：
Wang, Xiaowei
中科院分区：
文献类型：
--
作者：
Liu, Weijun;Wang, Xiaowei
我们进行了一项大规模的RNA测序研究，以实验方式鉴定被25种miRNA下调的基因。该RNA-seq数据集与公开的miRNA靶标结合数据相结合，以系统地鉴定miRNA靶向特征，这些特征是miRNA结合和靶标下调的特征。通过在机器学习框架中整合这些共同特征，我们开发并验证了用于全基因组miRNA靶标预测的改进计算模型。所有预测数据都可以在miRDB（http：//www.example.com）上访问。mirdb.org
We perform a large-scale RNA sequencing study to experimentally identify genes that are downregulated by 25 miRNAs. This RNA-seq dataset is combined with public miRNA target binding data to systematically identify miRNA targeting features that are characteristic of both miRNA binding and target downregulation. By integrating these common features in a machine learning framework, we develop and validate an improved computational model for genome-wide miRNA target prediction. All prediction data can be accessed at miRDB (http://mirdb.org).