glmgraph: an R package for variable selection and predictive modeling of structured genomic data.
Li ChenHan LiuJean-Pierre A. KocherHongzhe LiJun ChenPublished in: Bioinform. (2015)
Keyphrases
- variable selection
- predictive modeling
- genomic data
- biological data
- high throughput
- cross validation
- data mining methods
- statistical modeling
- data analysis
- knowledge discovery
- high dimensional
- text mining
- model selection
- machine learning
- experimental conditions
- protein protein interactions
- gene expression data
- gene ontology
- gene expression
- business intelligence
- dimension reduction
- survival analysis
- big data
- data mining
- real world
- data sets
- data integration
- data mining techniques
- pattern recognition
- feature selection
- high dimensionality
- computational methods
- statistical analysis
- pairwise