A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-86362-3_38
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3. Luo, Y., Zhao, X., Zhou, J., et al.: A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information. Nat. Commun. 8(1), 1–13 (2017)
4. Thafar, M., Playan, R., Ashoor, H., et al.: DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques. J. Cheminform. 12(1), 1–17 (2020)
5. Lu, Z., Wang, Y., Zeng, M., et al.: HNEDTI: prediction of drug-target interaction based on heterogeneous network embedding. In: 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE (2019)
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