Convolutional neural networks for classification of alignments of non-coding RNA sequences-Reference-Cited by-同舟云学术

Convolutional neural networks for classification of alignments of non-coding RNA sequences

Published:2018-06-27 Issue:13 Volume:34 Page:i237-i244
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Aoki Genta¹,Sakakibara Yasubumi¹

Affiliation:

1. Department of Biosciences and Informatics, Keio University, Yokohama, Japan

Funder

Grant-in-Aid for Scientific Research in Innovative Areas

Ministry of Education, Culture, Sports, Science and Technology of Japan

MEXT

Grant-in-Aid for Scientific Research (A)

KAKENHI

Japan Society for the Promotion of Science

JSPS

Strategic Research Foundation at Private Universities

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/34/13/i237/25098204/bty228.pdf

Reference28 articles.

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2. Continuous distributed representation of biological sequences for deep proteomics and genomics;Asgari;PLoS One,2015

3. Representation learning: a review and new perspectives;Bengio;IEEE Trans. Pattern Anal. Mach. Intell,2013

4. Small RNAs derived from structural non-coding RNAs;Chen;Methods,2013

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