Random Forest with Random Projection to Impute Missing Gene Expression Data.
Lovedeep GondaraPublished in: ICMLA (2015)
Keyphrases
- random forest
- random projections
- gene expression data
- missing values
- high dimensional data
- high dimensionality
- dimensionality reduction
- cancer classification
- dimension reduction
- original data
- low dimensional
- microarray
- sparse representation
- feature set
- high dimensional
- gene expression
- microarray data
- missing data
- feature selection
- decision trees
- data sets
- random sampling
- feature space
- ensemble methods
- principal component analysis
- gene selection
- linear discriminant analysis
- document clustering
- multi label
- nearest neighbor
- data points
- gene expression profiles
- data analysis
- fold cross validation
- training data
- base classifiers
- computer vision
- graph cuts
- image classification
- information retrieval