Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypes.
Mona AlshahraniRobert HoehndorfPublished in: Bioinform. (2018)
Keyphrases
- gene expression
- single nucleotide polymorphisms
- related genes
- disease genes
- complex diseases
- microarray
- biological knowledge
- differentially expressed genes
- functional genomics
- candidate genes
- biologically meaningful
- dna microarray
- genome wide association studies
- gene function
- gene clusters
- genome wide
- high throughput
- gene expression data
- microarray data
- genetic variation
- gene gene
- gene sets
- computational approaches
- biological processes
- microarray datasets
- gene gene interactions
- regulatory networks
- gene regulatory networks
- genomic data
- breast cancer
- biological entities
- dna sequences
- gene expression analysis
- molecular level
- gene expression profiles
- protein protein interaction networks
- text mining
- semantic similarity
- relevant genes
- gene selection
- protein protein interactions
- gene networks
- statistical significance
- highly correlated
- biological networks
- gene ontology
- biological data
- biomedical literature
- human genome
- semantic information
- computational tools
- high dimensional data
- genotype phenotype
- data sets