Diagnosis of bladder cancers with small sample size via feature selection.
T. Warren LiaoPublished in: Expert Syst. Appl. (2011)
Keyphrases
- small sample size
- feature selection
- high dimensionality
- microarray data
- cancer diagnosis
- gene selection
- cancer classification
- prostate cancer
- microarray datasets
- gene expression data
- early diagnosis
- microarray
- sample size
- dimensionality reduction
- breast cancer
- gene expression profiles
- linear discriminant analysis
- high dimensional
- bladder cancer
- feature space
- sample space
- high dimensional data
- text classification
- feature set
- feature extraction
- face recognition
- feature selection algorithms
- gene expression
- model selection
- support vector machine
- machine learning
- cluster analysis
- ct images
- feature ranking
- computer aided
- mr images
- unsupervised learning
- lung cancer
- input data
- knn
- classification accuracy
- support vector
- data sets