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GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm 期刊论文
PLOS COMPUTATIONAL BIOLOGY, 2020, 卷号: 16, 期号: 5, 页码: 1-19
作者:  Wang, L (Wang, Lei)[ 1,2 ];  You, ZH (You, Zhu-Hong)[ 2 ];  Li, YM (Li, Yang-Ming)[ 3 ];  Zheng, K (Zheng, Kai)[ 4 ];  Huang, YA (Huang, Yu-An)[ 5 ]
收藏  |  浏览/下载:29/0  |  提交时间:2020/07/06
FCGCNMDA: predicting miRNA-disease associations by applying fully connected graph convolutional networks 期刊论文
miRNA-disease association; Graph convolutional networks; Fully connected graph; Deep learning, 2020, 卷号: 295, 期号: 5, 页码: 1197-1209
作者:  Li, JS (Li, Jiashu)[ 1,2 ];  Li, ZW (Li, Zhengwei)[ 1,2,3 ];  Nie, R (Nie, Ru)[ 1,2 ];  You, ZH (You, Zhuhong)[ 4 ];  Bao, WZ (Bao, Wenzhang)[ 5 ]
收藏  |  浏览/下载:19/0  |  提交时间:2020/09/09
Time-Series Classification Based on Fusion Features of Sequence and Visualization 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 12, 页码: 1-25
作者:  Wang, BQ (Wang, Baoquan)[ 1,2,3 ];  Jiang, TH (Jiang, Tonghai)[ 1,3 ];  Zhou, X (Zhou, Xi)[ 1,3 ];  Ma, B (Ma, Bo)[ 1,2,3 ];  Zhao, F (Zhao, Fan)[ 1,3 ]
收藏  |  浏览/下载:14/0  |  提交时间:2020/09/09


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