<p>Chromatin accessibility prediction via convolutional Long Short-Term Memory networks with <i>k</i>-mer embedding</p>

Xu Min; Wanwen Zeng; Ning Chen; Ting Chen; Rui Jiang

doi:10.7490/f1000research.1114750.1

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Min X, Zeng W, Chen N et al. Chromatin accessibility prediction via convolutional Long Short-Term Memory networks with k-mer embedding [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1510 (slides) (https://doi.org/10.7490/f1000research.1114750.1)

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Chromatin accessibility prediction via convolutional Long Short-Term Memory networks with k-mer embedding

Xu Min, Wanwen Zeng, Ning Chen, Ting Chen¹, Rui Jiang¹

Published 18 Aug 2017 (https://doi.org/10.7490/f1000research.1114750.1)

Author Affiliations

¹ Tsinghua University, China

Copyright © 2017 Min X et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 18 Aug 2017

Chromatin accessibility prediction via convolutional Long Short-Term Memory networks with k-mer embedding
[version 1; not peer reviewed]

Xu Min, Wanwen Zeng, Ning Chen, Ting Chen¹, Rui Jiang¹

Author Affiliations

¹ Tsinghua University, China

Presented at

Joint 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB) 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Chromatin accessibility, convolutional neural network, long short-term memory, k-mer embedding

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