TITER: predicting translation initiation sites by deep learning-Reference-Cited by-同舟云学术

TITER: predicting translation initiation sites by deep learning

Published:2017-07-12 Issue:14 Volume:33 Page:i234-i242
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Zhang Sai¹,Hu Hailin²,Jiang Tao³⁴⁵,Zhang Lei²,Zeng Jianyang¹

Affiliation:

1. Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China

2. School of Medicine, Tsinghua University, Beijing, China

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

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

5. Institute of Integrative Genome Biology, University of California, Riverside, CA, USA

Funder

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/33/14/i234/25157333/btx247.pdf

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3. Gene expression regulation by upstream open reading frames and human disease;Barbosa;PLOS Genet,2013

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