Multiclass sparse logistic regression for classification of multiple cancer types using gene expression data.
Yongdai KimSunghoon KwonSeuck Heun SongPublished in: Comput. Stat. Data Anal. (2006)
Keyphrases
- multi class
- gene expression data
- cancer classification
- gene expression profiles
- multiple classes
- colon cancer
- cancer diagnosis
- feature selection
- dna microarray
- multiclass classification
- microarray
- cancer datasets
- gene selection
- gene expression datasets
- tissue samples
- support vector machine
- gene expression
- gene expression data sets
- binary classifiers
- cost sensitive classification
- high dimensionality
- gene expression analysis
- multiclass problems
- multiclass support vector machines
- cost sensitive
- microarray data
- class probabilities
- tumor classification
- gene expression data analysis
- binary classification problems
- binary classification
- pairwise
- error correcting output codes
- data sets
- support vector
- high dimensional
- classification accuracy
- microarray datasets
- decision trees
- machine learning
- support vector machine svm
- high dimensional data
- random forest
- pattern recognition
- image classification
- knn
- class labels
- boosting algorithms
- multiple types