A hybrid LDA and genetic algorithm for gene selection and classification of microarray data.
Edmundo Bonilla HuertaBéatrice DuvalJin-Kao HaoPublished in: Neurocomputing (2010)
Keyphrases
- microarray data
- gene selection
- small sample size
- cancer classification
- microarray
- dna microarray data
- relevant genes
- microarray data analysis
- informative genes
- microarray datasets
- feature selection
- gene expression profiles
- ovarian cancer
- dna microarray
- cancer diagnosis
- gene expression data
- gene expression
- support vector machine svm
- colon cancer
- microarray classification
- small number of samples
- microarray analysis
- high dimensional
- data sets
- feature extraction
- biologically relevant
- feature ranking
- selected genes
- cluster analysis
- linear discriminant analysis
- pattern recognition
- gene expression datasets
- support vector machine
- machine learning methods
- dimensionality reduction
- gene expression analysis
- face recognition
- differentially expressed genes
- gene clusters
- machine learning
- feature space
- gene expression data sets
- supervised learning
- early detection
- training set
- principal component analysis
- text classification
- support vector
- similarity measure
- high throughput
- high dimensionality
- decision trees
- gene ontology