Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data.
Héctor Climente-GonzálezChloé-Agathe AzencottSamuel KaskiMakoto YamadaPublished in: Bioinform. (2019)
Keyphrases
- high dimensional data
- model free
- gene expression data
- variable selection
- sparse representation
- nearest neighbor
- dimensionality reduction
- high dimensional
- reinforcement learning
- high dimensionality
- subspace clustering
- low dimensional
- data sets
- data points
- function approximation
- input space
- low rank
- feature selection
- similarity search
- hilbert schmidt independence criterion
- data analysis
- input data
- cross validation
- detection algorithm
- knn
- euclidean distance
- text classification
- neural network