A Novel Approach for Drug-Target Interactions Prediction Based on Multimodal Deep Autoencoder
- DOI
- 10.3389/fphar.2019.01592
- Published
- 2020-01-28
- Container
- Frontiers in Pharmacology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fphar.2019.01592,
title = {A Novel Approach for Drug-Target Interactions Prediction Based on Multimodal Deep Autoencoder},
author = {Huiqing Wang and Jingjing Wang and Chunlin Dong and Yuanyuan Lian and Dan Liu and Zhiliang Yan},
year = {2020},
journal = {Frontiers in Pharmacology},
doi = {10.3389/fphar.2019.01592},
url = {https://doi.org/10.3389/fphar.2019.01592}
}RIS
TY - JOUR TI - A Novel Approach for Drug-Target Interactions Prediction Based on Multimodal Deep Autoencoder AU - Huiqing Wang AU - Jingjing Wang AU - Chunlin Dong AU - Yuanyuan Lian AU - Dan Liu AU - Zhiliang Yan PY - 2020 JO - Frontiers in Pharmacology DO - 10.3389/fphar.2019.01592 UR - https://doi.org/10.3389/fphar.2019.01592 ER -
APA
Wang, H., Wang, J., Dong, C., Lian, Y., Liu, D., & Yan, Z. (2020). A Novel Approach for Drug-Target Interactions Prediction Based on Multimodal Deep Autoencoder. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2019.01592
Source records
- crossref · retrieved 2026-09-25T04:06:30.096Z