On the Utility of Partially Labeled Data for Classification of Microarray Data.
Ludwig LausserFlorian SchmidHans A. KestlerPublished in: PSL (2011)
Keyphrases
- microarray data
- feature selection
- partially labeled data
- microarray data analysis
- dna microarray data
- microarray datasets
- cancer classification
- gene expression data
- gene expression profiles
- microarray
- small number of samples
- gene selection
- gene expression
- semi supervised
- data sets
- dna microarray
- ovarian cancer
- pattern recognition
- text classification
- support vector machine
- classification accuracy
- high dimensionality
- supervised learning
- high dimensional
- cancer diagnosis
- unsupervised learning
- small number
- loss function
- active learning
- gene sets
- machine learning
- co training
- cluster analysis
- unlabeled data
- feature space
- support vector
- decision trees
- decision boundary
- machine learning algorithms
- training examples
- semi supervised learning
- model selection
- feature set
- multi class
- feature vectors