A Ranking Approach for Probe Selection and Classification of Microarray Data with Artificial Neural Networks.
Alexandre Wagner Chagas FariaAlisson Marques da SilvaThiago de Souza RodriguesMarcelo Azevedo CostaAntônio de Pádua BragaPublished in: J. Comput. Biol. (2015)
Keyphrases
- microarray data
- artificial neural networks
- microarray data analysis
- building classification models
- feature selection
- dna microarray data
- cancer classification
- microarray datasets
- microarray
- gene selection
- meta analysis
- gene expression profiles
- gene expression
- gene expression data
- small number of samples
- ovarian cancer
- microarray gene expression data
- colon cancer
- microarray classification
- gene expression microarray data
- high dimensional
- gene networks
- data sets
- machine learning
- informative genes
- dna microarray
- decision trees
- pattern recognition
- microarray analysis
- support vector machine
- feature vectors
- gene expression analysis
- unsupervised learning
- differentially expressed genes
- data mining
- cluster analysis
- gene clusters
- neural network
- classification accuracy
- gene sets
- supervised learning
- biological data
- model selection
- high dimensionality
- feature ranking
- text classification
- machine learning methods
- training samples
- feature extraction
- feature space
- support vector machine svm
- classification models