Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso.
Wencan ZhuCéline Lévy-LeducNils TernèsPublished in: BMC Bioinform. (2023)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- nearest neighbor
- data analysis
- high dimensionality
- high dimensions
- mass spectrometry
- high dimensional
- breast cancer
- subspace clustering
- original data
- data sets
- data points
- similarity search
- data distribution
- dimension reduction
- manifold learning
- linear discriminant analysis
- lower dimensional
- input space
- text data
- dimensional data
- high dimensional spaces
- high dimensional datasets
- input data
- nonlinear dimensionality reduction
- subspace learning
- sparse representation
- high dimensional data sets
- pattern recognition
- variable selection
- feature space
- survival data