Using cluster analysis to improve gene selection in the formation of discriminant rules for the prediction of disease outcomes.
Shu-Kay NgGeoffrey J. McLachlanPublished in: BIBM (2013)
Keyphrases
- cluster analysis
- microarray data
- gene selection
- discriminant analysis
- categorical data
- dna microarray
- data clustering
- clustering algorithm
- microarray
- ovarian cancer
- clustering method
- cancer classification
- factor analysis
- unsupervised learning
- k means
- clustering analysis
- gene expression
- data mining
- gene expression data
- gene expression profiles
- gene sets
- hierarchical latent class models
- fuzzy clustering
- association rules
- data analysis
- data mining techniques
- feature selection
- computer vision
- neural network
- fuzzy c means
- support vector machine svm
- pattern recognition
- learning algorithm
- wilcoxon rank sum
- data sets