Using Graph Neural Networks to Predict Gene-Autoimmune Disease Associations.
Noah DahleMeghan KwonKwai WongStanimire TomovPublished in: PEARC (2024)
Keyphrases
- neural network
- gene gene
- biological entities
- microarray
- genetic variation
- candidate genes
- disease genes
- biological knowledge
- directed graph
- gene expression data
- artificial neural networks
- complex diseases
- gene expression
- protein protein interaction networks
- dna microarray
- gene networks
- graph representation
- genetic algorithm
- graph theory
- fuzzy logic
- graph structure
- pattern recognition
- association rules
- differentially expressed genes
- gene gene interactions
- random walk
- back propagation
- gene clusters
- genome wide association studies
- gene function
- weighted graph
- structured data
- signaling pathways
- neural network model
- bipartite graph
- protein interaction
- biomedical literature
- graph model