LncRNA-Top: Controlled deep learning approaches for lncRNA gene regulatory relationship annotations across different platforms.
- DOI
- 10.1016/j.isci.2023.108197
- Published
- 2023 Nov 17
- Container
- iScience
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.isci.2023.108197,
title = {LncRNA-Top: Controlled deep learning approaches for lncRNA gene regulatory relationship annotations across different platforms.},
author = {Xie W and Chen X and Zheng Z and Wang F and Zhu X and Lin Q and Sun Y and Wong KC},
year = {2023},
journal = {iScience},
doi = {10.1016/j.isci.2023.108197},
url = {https://doi.org/10.1016/j.isci.2023.108197}
}RIS
TY - JOUR TI - LncRNA-Top: Controlled deep learning approaches for lncRNA gene regulatory relationship annotations across different platforms. AU - Xie W AU - Chen X AU - Zheng Z AU - Wang F AU - Zhu X AU - Lin Q AU - Sun Y AU - Wong KC PY - 2023 JO - iScience DO - 10.1016/j.isci.2023.108197 UR - https://doi.org/10.1016/j.isci.2023.108197 ER -
APA
W, X., X, C., Z, Z., F, W., X, Z., Q, L., Y, S., & KC, W. (2023). LncRNA-Top: Controlled deep learning approaches for lncRNA gene regulatory relationship annotations across different platforms.. iScience. https://doi.org/10.1016/j.isci.2023.108197
Source records
- pubmed · retrieved 2026-09-26T02:42:58.180Z