A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease.
Sayan GhosalQiang ChenGiulio PergolaAaron L. GoldmanWilliam UlrichDaniel R. WeinbergerArchana VenkataramanPublished in: ICLR (2022)
Keyphrases
- complex diseases
- genome wide association studies
- convolutional network
- convolutional neural networks
- genetic variation
- single nucleotide polymorphisms
- clinical applications
- risk factors
- biological knowledge
- genome wide
- image analysis
- image processing
- human genome
- high resolution
- coarse to fine
- gene expression
- high throughput
- sequence data