DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation
- DOI
- 10.1371/journal.pcbi.1014476
- Published
- 2026-07-01
- Container
- PLOS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pcbi.1014476,
title = {DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation},
author = {Wenran Li and Shijia Yu and Yingyu Cheng and Sijia Wang},
year = {2026},
journal = {PLOS Computational Biology},
doi = {10.1371/journal.pcbi.1014476},
url = {https://doi.org/10.1371/journal.pcbi.1014476}
}RIS
TY - JOUR TI - DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation AU - Wenran Li AU - Shijia Yu AU - Yingyu Cheng AU - Sijia Wang PY - 2026 JO - PLOS Computational Biology DO - 10.1371/journal.pcbi.1014476 UR - https://doi.org/10.1371/journal.pcbi.1014476 ER -
APA
Li, W., Yu, S., Cheng, Y., & Wang, S. (2026). DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1014476
Source records
- crossref · retrieved 2026-09-25T01:01:30.121Z