Identifying Candidate Gene-Disease Associations via Graph Neural Networks.
Pietro CinagliaMario CannataroPublished in: Entropy (2023)
Keyphrases
- neural network
- gene gene
- microarray
- disease genes
- biological entities
- pattern recognition
- candidate genes
- genetic variation
- protein protein interaction networks
- gene networks
- gene function
- graph representation
- genetic algorithm
- graph structure
- artificial neural networks
- fuzzy logic
- structured data
- gene expression data
- differentially expressed genes
- biological knowledge
- neural network model
- random walk
- molecular level
- dna microarray
- candidate set
- directed acyclic graph
- weighted graph
- graph theory
- bipartite graph
- high throughput
- biomedical literature
- gene expression
- directed graph
- sequence data
- escherichia coli
- back propagation
- microarray data
- association rules