ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network.
Dokyoon KimRuowang LiScott M. DudekMarylyn D. RitchiePublished in: BioData Min. (2013)
Keyphrases
- genomic data
- outcome prediction
- gene gene interactions
- grammatical evolution
- neural network
- high throughput
- genome wide
- related genes
- complex diseases
- biological data
- gene expression profiles
- genetic programming
- decision trees
- gene ontology
- protein protein interactions
- experimental conditions
- single nucleotide polymorphisms
- gene expression data
- microarray
- breast cancer
- gene expression
- automatic programming
- systems biology
- protein interaction
- data integration
- self organizing maps
- human genome
- statistical analysis
- co occurrence