A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data

Tao Jiang; Fanghong Dong; Chen Zhang; Shuya Li; Sai Zhang; Xiao Liu; Jianyang Zeng; Yuexin Wu

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A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data

机译：基于深度增强的方法，可从高通量CLIP-seq数据中捕获RNA结合蛋白的序列结合偏好

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《Nucleic acids research》 |2017年第14期|共页
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Tao Jiang; Fanghong Dong; Chen Zhang; Shuya Li; Sai Zhang; Xiao Liu; Jianyang Zeng; Yuexin Wu;
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1. A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data [J] . Li Shuya, Dong Fanghong, Wu Yuexin, European Review of Agricultural Economics . 2017,第4期

机译：基于深度促进基于高吞吐量剪辑-SEQ数据的RNA结合蛋白序列结合偏好的方法
2. ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data [J] . Heller David, Krestel Ralf, Ohler Uwe, Nucleic Acids Research . 2017,第19期

机译：SSHMM：从高通量RNA结合蛋白数据中提取直观的序列结构基序
3. ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data [J] . David Heller, Martin Vingron, Annalisa Marsico, Nucleic acids research . 2017,第19期

机译：ssHMM：从高通量RNA结合蛋白数据中提取直观的序列结构基序
4. A deep neural network approach using distributed representations of RNA sequence and structure for identifying binding site of RNA-binding proteins [C] . Lei Deng, Youzhi Liu, Yechuan Shi, IEEE International Conference on Bioinformatics and Biomedicine . 2019

机译：使用RNA序列和结构的分布式表示的深层神经网络方法，用于识别RNA结合蛋白的结合位点
5. Characterization of two RNA-binding proteins containing RNA-Recognition Motif (RRM)-type RNA-binding domains from mouse brain. [D] . Inman, Michael Verne. 1999

机译：表征两个RNA结合蛋白的小鼠大脑中的RNA识别基序（RRM）型RNA结合域。
6. A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data [O] . Shuya Li, Fanghong Dong, Yuexin Wu, 2017

机译：一种基于深度增强的方法可从高通量CLIP-seq数据中捕获RNA结合蛋白的序列结合偏好
7. A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data [O] . Shuya Li, Fanghong Dong, Yuexin Wu, 2017

机译：基于深增强的方法，用于捕获RNA结合蛋白的序列结合偏好从高吞吐量剪辑 - SEQ数据

A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data

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