Prediction of TF-binding site by inclusion of higher order position dependencies-Reference-Cited by-同舟云学术

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Prediction of TF-binding site by inclusion of higher order position dependencies

Published:2019 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:

Zhou Jiyun,Lu Qin,Xu Ruifeng,Gui Lin,Wang Hongpeng

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/08607082.pdf?arnumber=8607082

Cited by 10 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. Predicting transcription factor binding sites by a multi-modal representation learning method based on cross-attention network;Applied Soft Computing;2024-11

2. HAMPLE: deciphering TF-DNA binding mechanism in different cellular environments by characterizing higher-order nucleotide dependency;Bioinformatics;2023-05-01

3. G4mismatch: Deep neural networks to predict G-quadruplex propensity based on G4-seq data;PLOS Computational Biology;2023-03-10

4. Towards a better understanding of TF-DNA binding prediction from genomic features;Computers in Biology and Medicine;2022-10

5. rG4detector;Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics;2022-08-07

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