A variable selection approach for highly correlated predictors in high-dimensional genomic data.
Wencan ZhuCéline Lévy-LeducNils TernèsPublished in: Bioinform. (2021)
Keyphrases
- variable selection
- highly correlated
- genomic data
- high dimensional
- high dimensionality
- gene expression data
- transcription factors
- high dimensional data
- high throughput
- dimension reduction
- dimensionality reduction
- biological data
- nearest neighbor
- low dimensional
- microarray data
- protein protein interactions
- average precision
- feature space
- statistically significant
- cross validation
- gene ontology
- data points
- gene expression profiles
- model selection
- gene expression
- feature selection
- information extraction