Predicting miRNA-disease associations based on lncRNA-miRNA interactions and graph convolution networks.
Wengang WangHailin ChenPublished in: Briefings Bioinform. (2023)
Keyphrases
- gene function
- gene expression
- regulatory networks
- gene ontology
- biological knowledge
- gene regulatory networks
- secondary structure
- protein interaction
- gene sets
- computational methods
- differentially expressed
- expression profiles
- microarray
- differentially expressed genes
- protein interaction networks
- interaction networks
- gene regulation
- biological networks
- signaling pathways
- binding sites
- genome wide
- gene expression profiles
- saccharomyces cerevisiae
- microarray data
- functional modules
- biological processes
- microarray data analysis
- protein protein interactions
- network model
- gene expression data
- ovarian cancer
- protein protein interaction networks
- systems biology
- gene networks
- high throughput
- biological data
- protein function
- statistical significance
- reverse engineering
- biomedical literature
- textual information
- complex networks
- social networks
- semantic similarity
- protein complexes
- graph mining
- data sets
- amino acids
- rna sequences
- network analysis
- network structure
- genome wide association studies
- association rules
- molecular biology