A deep learning method for predicting metabolite–disease associations via graph neural network
University of Science and Technology Liaoning · Linyi University
Abstract
Metabolism is the process by which an organism continuously replaces old substances with new substances. It plays an important role in maintaining human life, body growth and reproduction. More and more researchers have shown that the concentrations of some metabolites in patients are different from those in healthy people. Traditional biological experiments can test some hypotheses and verify their relationships but usually take a considerable amount of time and money. Therefore, it is urgent to develop a new computational method to identify the relationships between metabolites and diseases. In this work, we present a new deep learning algorithm named as graph convolutional network with graph attention…
Citation impact
- FWCI
- 25.03
- Percentile
- 100%
- References
- 53
Authors
3Topics & keywords
- Metabolite
- Computer science
- Convolutional neural network
- Graph
- Artificial intelligence
- Machine learning
- Deep learning
- Pattern recognition (psychology)