Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data.
Haohan WangBenjamin J. LengerichBryon AragamEric P. XingPublished in: Bioinform. (2019)
Keyphrases
- genomic data
- high dimensional
- gene expression data
- variable selection
- high throughput
- biological data
- gene ontology
- low dimensional
- model selection
- experimental conditions
- gene expression
- feature selection
- protein protein interactions
- nearest neighbor
- high dimensionality
- microarray data
- high precision
- sparse representation
- high dimensional data
- dimensionality reduction