Development of biomarker classifiers from high-dimensional data.
Songjoon BaekChen-An TsaiJames J. ChenPublished in: Briefings Bioinform. (2009)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- gene expression data
- low dimensional
- high dimensionality
- nearest neighbor
- data sets
- high dimensions
- subspace clustering
- data points
- input space
- dimension reduction
- similarity search
- lower dimensional
- original data
- clustering high dimensional data
- data distribution
- data analysis
- feature selection
- missing values
- manifold learning
- linear discriminant analysis
- training data
- high dimensional spaces
- pattern recognition
- decision trees
- text data
- high dimensional datasets
- high dimensional data sets
- svm classifier
- training samples
- multi dimensional
- query processing
- data mining