Variable Selection and Outlier Detection in Regularized Survival Models: Application to Melanoma Gene Expression Data.
Eunice CarrasquinhaAndré VeríssimoMarta B. LopesSusana VingaPublished in: LOD (2018)
Keyphrases
- outlier detection
- variable selection
- gene expression data
- model selection
- high dimensional
- gene expression
- microarray
- gene regulatory networks
- microarray data
- cross validation
- gene expression microarray data
- high dimensional data
- knowledge discovery
- machine learning
- data mining
- dimension reduction
- detecting outliers
- sparsity inducing
- unsupervised learning
- principal component analysis
- input image
- support vector machine
- feature extraction
- feature selection
- gene selection
- gene expression profiles
- real world