Integrative approach for predicting drug-target interactions via matrix factorization and broad learning systems

被引：0
|
作者：
Xu, Wanying [1 ]
Yang, Xixin [1 ,2 ]
Guan, Yuanlin [3 ,4 ]
Cheng, Xiaoqing [1 ]
Wang, Yu [1 ]
机构：
[1] College of Computer Science & Technology, Qingdao University, Qingdao,266071, China
[2] School of Automation, Qingdao University, Qingdao,266071, China
[3] Key Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao,266520, China
[4] School of Mechanical & Automotive Engineering, Qingdao University of Technology, Qingdao,266520, China
来源：
Mathematical Biosciences and Engineering | 2024年 / 21卷 / 02期
关键词：
Compendex;
D O I：
10.3934/mbe.2024115
中图分类号：
学科分类号：
摘要：
Benchmarking - Convolution - Drug interactions - Factorization - Forecasting - Matrix algebra - Nearest neighbor search - Tensors
引用
收藏
页码：2608 / 2625
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