Predicting gene-disease associations via graph embedding and graph convolutional networks.
Lvxing ZhuZhaolin HongHaoran ZhengPublished in: BIBM (2019)
Keyphrases
- graph embedding
- gene gene
- gene networks
- discriminant analysis
- protein protein interaction networks
- microarray
- semi supervised
- signaling pathways
- biological entities
- dimensionality reduction
- low dimensional
- data representation
- gene regulatory networks
- geometrical structure
- gene expression
- subspace learning
- graph structure
- gene expression data
- dictionary learning
- genetic variation
- feature representation
- sparse coding
- microarray data
- high throughput
- biological networks
- machine learning
- label information
- data analysis
- image processing
- learning algorithm