A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data-Reference-Cited by-同舟云学术

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

Published:2017-05-30 Issue:14 Volume:45 Page:e129-e129
ISSN:0305-1048
Container-title:Nucleic Acids Research
language:en
Short-container-title:

Author:

Li Shuya¹,Dong Fanghong²,Wu Yuexin²³,Zhang Sai²,Zhang Chen²,Liu Xiao¹^ORCID,Jiang Tao⁴⁵^ORCID,Zeng Jianyang²

Affiliation:

1. School of Life Sciences, Tsinghua University, Beijing 100084, China

2. Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, China

3. Present address: Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA 15232, USA

4. Department of Computer Science and Engineering, University of California, Riverside, CA 92521, USA

5. MOE Key Lab of Bioinformatics and Bioinformatics Division, TNLIST/Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China

Publisher

Oxford University Press (OUP)

Subject

Genetics

Link

http://academic.oup.com/nar/article-pdf/45/14/e129/25367311/gkx492.pdf

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5. HITS-CLIP yields genome-wide insights into brain alternative RNA processing;Licatalosi;Nature,2008

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