MiRTDL: A Deep Learning Approach for miRNA Target Prediction-Reference-Cited by-同舟云学术

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MiRTDL: A Deep Learning Approach for miRNA Target Prediction

Published:2016-11-01 Issue:6 Volume:13 Page:1161-1169
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:

Cheng Shuang,Guo Maozu,Wang Chunyu,Liu Xiaoyan,Liu Yang,Wu Xuejian

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/7777002/07362158.pdf?arnumber=7362158

Cited by 63 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. Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer;Computational and Structural Biotechnology Journal;2024-12

2. Benchmarking the negatives: Effect of negative data generation on the classification of miRNA-mRNA interactions;PLOS Computational Biology;2024-08-26

3. Improving plant miRNA-target prediction with self-supervised k-mer embedding and spectral graph convolutional neural network;PeerJ;2024-05-21

4. Machine Learning Strategies in MicroRNA Research: Bridging Genome to Phenome;OMICS: A Journal of Integrative Biology;2024-05-01

5. Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer;2024-04-20

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