BPP: a sequence-based algorithm for branch point prediction-Reference-Cited by-同舟云学术

BPP: a sequence-based algorithm for branch point prediction

Published:2017-06-19 Issue:20 Volume:33 Page:3166-3172
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Zhang Qing¹,Fan Xiaodan²,Wang Yejun³,Sun Ming-an¹,Shao Jianlin⁴,Guo Dianjing¹

Affiliation:

1. School of Life Sciences and the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, China

2. Department of Statistics, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, China

3. Department of Cell Biology and Genetics, Shenzhen University Health Science Center, Shenzhen, China

4. First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 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/33/20/3166/25165698/btx401.pdf

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3. Unsupervised learning of multiple motifs in biopolymers using expectation maximization;Bailey;Mach. Learn,1995

4. Lasso, a strategy for genome-wide mapping of intronic lariats and branch points using rna-seq;Bitton;Genome Res,2014

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