Classification of heterogeneous microarray data by maximum entropy kernel.
Wataru FujibuchiTsuyoshi KatoPublished in: BMC Bioinform. (2007)
Keyphrases
- maximum entropy
- microarray data
- microarray data analysis
- dna microarray data
- kernel logistic regression
- feature selection
- microarray
- gene selection
- cancer classification
- gene expression profiles
- gene expression data
- maximum entropy principle
- gene expression
- support vector
- microarray datasets
- feature space
- dna microarray
- small number of samples
- data sets
- classification accuracy
- text classification
- ovarian cancer
- cluster analysis
- support vector machine
- high dimensional
- high dimensionality
- feature ranking
- support vector machine svm
- gene sets
- conditional random fields
- kernel learning
- class probabilities
- class labels
- supervised learning
- hidden markov models
- feature vectors
- training set
- feature extraction
- machine learning