Article
A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data.
Nucleic acids research - 21 Aug 2017
Li Shuya, Dong Fanghong, Wu Yuexin, Zhang Sai, Zhang Chen, Liu Xiao, Jiang Tao, Zeng Jianyang
Abstract excerpt
Characterizing the binding behaviors of RNA-binding proteins (RBPs) is important for understanding their functional roles in gene expression regulation. However, current high-throughput experimental methods for identifying RBP targets, such as CLIP-seq and RNAcompete, usually suffer from the false negative issue. Here, we develop a deep boosting based machine learning approach, called DeBooster, to accurately...
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