A data-driven interactome of synergistic genes improves network-based cancer outcome prediction.
Amin AllahyarJoske UbelsJeroen de RidderPublished in: PLoS Comput. Biol. (2019)
Keyphrases
- outcome prediction
- data driven
- genomic data
- gene expression datasets
- protein protein interactions
- gene expression data
- protein protein interaction networks
- cell cycle
- microarray
- gene expression
- gene ontology
- experimental conditions
- protein interaction
- high throughput
- gene selection
- breast cancer
- biological data
- gene expression profiles
- biological processes
- computational methods
- expression profiles
- biomedical literature
- gene expression analysis
- cancer classification
- synthetic datasets
- microarray data
- systems biology
- data sets
- structural properties
- functional modules
- regulatory networks
- gene networks
- gene regulatory networks
- network analysis
- logistic regression
- feature selection