Selecting a classification function for class prediction with gene expression data.
Victor L. JongPutri W. NoviantiKit C. B. RoesMarinus J. C. EijkemansPublished in: Bioinform. (2016)
Keyphrases
- gene expression data
- microarray
- gene expression
- high dimensionality
- gene expression profiles
- cancer classification
- gene expression analysis
- cancer diagnosis
- feature selection
- colon cancer
- dna microarray data
- microarray data
- dna microarray
- microarray datasets
- gene expression datasets
- tumor classification
- gene expression data analysis
- machine learning
- gene expression microarray data
- analysis of gene expression data
- gene selection
- microarray data analysis
- gene expression data sets
- cancer datasets
- classification accuracy
- regulatory networks
- gene expression profiling
- pattern recognition
- data sets
- high dimensional data
- support vector machine svm
- gene networks
- high dimensional
- feature space
- decision trees
- tissue samples
- neural network
- machine learning methods
- feature extraction
- gene expression patterns
- microarray gene expression data
- molecular biology
- random forest
- functional genomics
- high throughput
- dimensionality reduction
- training set