Classification of microarrays; synergistic effects between normalization, gene selection and machine learning.
Jenny ÖnskogEva FreyhultMattias LandforsPatrik RydénTorgeir R. HvidstenPublished in: BMC Bioinform. (2011)
Keyphrases
- gene selection
- machine learning
- cancer classification
- microarray data
- microarray
- microarray data analysis
- feature selection
- microarray datasets
- cancer diagnosis
- dna microarray data
- machine learning methods
- dna microarray
- gene expression data
- relevant genes
- gene expression profiles
- support vector machine
- feature ranking
- support vector machine svm
- gene expression
- tumor classification
- colon cancer
- survival prediction
- ovarian cancer
- microarray classification
- pattern recognition
- microarray analysis
- high dimensionality
- informative genes
- high throughput
- decision trees
- text classification
- machine learning algorithms
- classification accuracy
- gene expression datasets
- model selection
- learning algorithm
- small number of samples
- selected genes
- data mining
- clustering analysis
- data sets
- unsupervised learning
- wilcoxon rank sum
- gene expression analysis
- experimental conditions
- feature space
- support vector