SSLpheno: a self-supervised learning approach for gene-phenotype association prediction using protein-protein interactions and gene ontology data.
Xuehua BiWeiyang LiangQichang ZhaoJianxin WangPublished in: Bioinform. (2023)
Keyphrases
- gene ontology
- protein protein interactions
- genomic data
- microarray expression data
- microarray
- protein interaction
- protein interaction data
- gene expression
- data sets
- biological knowledge
- data sources
- biological pathways
- knowledge discovery
- data collection
- high throughput
- protein function
- protein interaction networks
- data analysis
- network analysis
- semantic similarity
- gene expression data
- biological networks
- data mining
- computational approaches
- protein protein interaction networks
- protein function prediction
- information theoretic
- statistical analysis
- genome scale
- data mining techniques