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西北工业大学 国内
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SGANRDA: Semi-supervised generative adversarial networks for predicting circRNA-disease associations
Lei Wang, Xin Yan,
Zhu Hong You
, Xi Zhou, Hao Yuan Li,
Yu An Huang
Xinjiang Technical Institute of Physics and Chemistry
China University of Mining and Technology
Hong Kong Polytechnic University
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探究 'SGANRDA: Semi-supervised generative adversarial networks for predicting circRNA-disease associations' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Case Study
50%
Computational Method
50%
Computational Modeling
50%
Experimental Result
50%
Extreme Learning Machine
50%
Fold Cross Validation
50%
Generative Adversarial Networks
50%
Information Content
50%
Network Parameter
50%
Performance Model
50%
Programming Language Feature
50%
Recent Literature
50%
Semi-Supervised Generative Adversarial Network
100%
Training Process
50%
Mathematics
Cross-Validation
100%
Gaussian Distribution
50%
Information Content
50%
Network Model
50%
Performance Model
50%
Training Process
50%
Pharmacology, Toxicology and Pharmaceutical Science
Cross-Validation
28%
Disease Association
100%
Diseases
100%
Biochemistry, Genetics and Molecular Biology
Circular RNA
100%
Gaussian Distribution
9%
RNA Sequence
18%
Neuroscience
Circular RNA
100%
RNA Sequence
18%