Attention-wise masked graph contrastive learning for predicting molecular property

Autor: Liu, Hui, Huang, Yibiao, Liu, Xuejun, Deng, Lei

Accurate and efficient prediction of the molecular properties of drugs is one of the fundamental problems in drug research and development. Recent advancements in representation learning have been shown to greatly improve the performance of molecular

Externí odkaz: http://arxiv.org/abs/2206.08262

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Randomised clinical trial: dose optimising strategy by NUDT15 genotyping reduces leucopenia during thiopurine treatment of Crohn's disease.

Autor: Chao, Kang^1,2 (AUTHOR), Huang, Yibiao³ (AUTHOR), Zhu, Xia^1,2,4 (AUTHOR), Tang, Jian^1,2 (AUTHOR), Wang, Xueding⁴ (AUTHOR), Lin, Lang^1,2 (AUTHOR), Guo, Huili^1,2 (AUTHOR), Zhang, Caibin⁴ (AUTHOR), Li, Miao^1,2 (AUTHOR), Yang, Qingfan^1,2 (AUTHOR), Huang, Jie^1,2 (AUTHOR), Ye, Lingna³ (AUTHOR), Hu, Pinjin^1,2 (AUTHOR), Huang, Min⁴ (AUTHOR) huangmin@mail.sysu.edu.cn, Cao, Qian³ (AUTHOR) caoq@zju.edu.cn, Gao, Xiang^1,2 (AUTHOR) gxiang@mail.sysu.edu.cn

Publikováno v: Alimentary Pharmacology & Therapeutics. Nov2021, Vol. 54 Issue 9, p1124-1133. 10p. 1 Diagram, 3 Charts, 3 Graphs.

SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost.

Autor: Liu, Dayun¹ (AUTHOR), Huang, Yibiao¹ (AUTHOR), Nie, Wenjuan¹ (AUTHOR), Zhang, Jiaxuan² (AUTHOR), Deng, Lei¹ (AUTHOR) leideng@csu.edu.cn

Publikováno v: BMC Bioinformatics. 4/28/2021, Vol. 22 Issue 1, p1-18. 18p.