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西北工业大学 国内
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WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations
Mei Neng Wang,
Zhu Hong You
, Li Ping Li, Zhan Heng Chen, Xue Jun Xie
Yichun University
Chinese Academy of Sciences
University of Chinese Academy of Sciences
科研成果
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同行评审
6
引用 （Scopus）
综述
指纹
指纹
探究 'WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Mathematics
Adjacency Matrix
33%
Chemical Structure
33%
Computational Approach
33%
Cross-Validation
33%
Factorization
100%
Matrix (Mathematics)
100%
Nearest Neighbor
33%
Weighted Graph
33%
Computer Science
Adjacency Matrix
20%
Computational Approach
20%
Computational Method
20%
Computational Modeling
20%
Development Cycle
20%
Drug-Disease Association
100%
Fold Cross Validation
20%
Information Description
20%
Matrix Factorization
100%
Prediction Performance
20%
Weighted Graph
20%
Pharmacology, Toxicology and Pharmaceutical Science
Cross-Validation
20%
Disease Association
100%
Diseases
60%
Drug Development
20%
Drug Induced Disease
100%
Drug Repositioning
40%
Chemistry
Area Under the Curve
50%
Drug Repositioning
100%