Prediction of transcription factor binding sites with an attention augmented convolutional neural network-Reference-Cited by-同舟云学术

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Prediction of transcription factor binding sites with an attention augmented convolutional neural network

Published:2021 Issue: Volume: Page:1-1
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Jing Fang,Zhang Shaowu,Zhang Shihua

Funder

CAS Frontier Science Research Key Project for Top Young Scientist

National Natural Science Foundation of China

National Ten Thousand Talent Program for Young Top-notch Talents the Key Research Program of the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/09609543.pdf?arnumber=9609543

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Parental Migration and Fear of Crime Among Left-Behind Children in Rural China;Asian Journal of Criminology;2024-05-25

2. AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides;Bioinformatics;2024-03-01

3. Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction;Briefings in Bioinformatics;2023-02-07

4. Densely Convolutional Neural Network for Transcription Factor Binding Sites Prediction Using DNA Sequence and Histone Modification;2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD);2022-05-27

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