Detecting novel hypermethylated genes in Breast cancer benefiting from feature selection.
Jie LvJianzhong SuFang WangYunfeng QiHongbo LiuYan ZhangPublished in: Comput. Biol. Medicine (2010)
Keyphrases
- breast cancer
- feature selection
- microarray data
- related genes
- gene expression data
- cancer datasets
- microarray datasets
- gene selection
- breast cancer diagnosis
- logistic regression
- diagnosis of breast cancer
- gene expression
- early detection
- computer aided diagnosis
- wilcoxon rank sum
- dna microarray
- microarray
- high dimensionality
- breast cancer patients
- cancer classification
- survival analysis
- computer aided detection
- feature set
- cad systems
- breast cancer detection
- data sets
- bladder cancer
- mammogram images
- feature space
- naive bayes
- computer aided
- classification accuracy
- cancer diagnosis
- support vector
- text classification
- feature extraction
- machine learning
- cluster analysis
- dce mri
- breast tissue
- cancer patients
- text categorization