MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification
Author:
Affiliation:
1. Provincial Demonstration Software Institute, Shaoguan University, Shaoguan, China
2. School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China
3. The Peng Cheng Laboratory, Shenzhen, China
Funder
National Natural Science Foundation of China
Macau Science and Technology Development Funds
Guangdong Key Construction Discipline Research Capacity Enhancement
The Scientific Computing Research Innovation Team of Guangdong Province
Natural Science Foundation of Shaoguan University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6221020/10491283/10432939.pdf?arnumber=10432939
Reference39 articles.
1. Multimodal biomedical AI
2. Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis
3. DeepMNE: Deep Multi-Network Embedding for lncRNA-Disease Association Prediction
4. Multi stain graph fusion for multimodal integration in pathology
5. Identifying multi-layer gene regulatory modules from multi-dimensional genomic data
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