Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology.
Steven M. HillRichard M. NeveNora BayaniWen-Lin KuoSafiyyah ZiyadPaul T. SpellmanJoe W. GraySach MukherjeePublished in: BMC Bioinform. (2012)
Keyphrases
- variable selection
- biological knowledge
- related genes
- high throughput
- biological systems
- gene expression
- gene expression data
- protein protein interactions
- engineering design
- gene regulatory networks
- cross validation
- computational tools
- high dimensional
- gene selection
- text mining
- gene expression profiles
- model selection
- dimension reduction
- biological processes
- feature selection
- decision trees
- systems biology
- breast cancer
- high dimensional data
- biomedical literature
- microarray
- pattern recognition
- support vector
- biologically inspired
- computational methods
- biological data
- biological networks
- artificial intelligence
- genome wide
- molecular biology
- data sets
- high dimensionality