Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification.
Yong LiangCheng LiuXin-Ze LuanKwong-Sak LeungTak-Ming ChanZongben XuHai ZhangPublished in: BMC Bioinform. (2013)
Keyphrases
- cancer classification
- gene selection
- microarray data
- microarray
- cancer diagnosis
- gene expression data
- gene expression
- gene expression datasets
- relevant genes
- random forest
- gene expression profiles
- colon cancer
- microarray gene expression data
- feature selection
- dna microarray
- informative genes
- microarray datasets
- support vector machine svm
- biologically relevant
- neural network
- support vector machine
- high dimensional
- data analysis
- microarray analysis
- data sets
- cluster analysis