mDADGAN: Predicting miRNA–Drug Response Associations Using lncRNAs and a Diffusion-Based Generative Adversarial Network
- DOI
- 10.1021/acs.jcim.6c00254
- Published
- 2026-04-20
- Container
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jcim.6c00254,
title = {mDADGAN: Predicting miRNA–Drug Response Associations Using lncRNAs and a Diffusion-Based Generative Adversarial Network},
author = {Wenyin Lai and Li Wang and Chunyan Tang and Danyang Chen and Cheng Zhong},
year = {2026},
journal = {Journal of Chemical Information and Modeling},
doi = {10.1021/acs.jcim.6c00254},
url = {https://doi.org/10.1021/acs.jcim.6c00254}
}RIS
TY - JOUR TI - mDADGAN: Predicting miRNA–Drug Response Associations Using lncRNAs and a Diffusion-Based Generative Adversarial Network AU - Wenyin Lai AU - Li Wang AU - Chunyan Tang AU - Danyang Chen AU - Cheng Zhong PY - 2026 JO - Journal of Chemical Information and Modeling DO - 10.1021/acs.jcim.6c00254 UR - https://doi.org/10.1021/acs.jcim.6c00254 ER -
APA
Lai, W., Wang, L., Tang, C., Chen, D., & Zhong, C. (2026). mDADGAN: Predicting miRNA–Drug Response Associations Using lncRNAs and a Diffusion-Based Generative Adversarial Network. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.6c00254
Source records
- crossref · retrieved 2026-09-25T14:40:59.341Z