Gene Expression Dataset Classification Using Artificial Neural Network and Clustering-Based Feature Selection.
Audu Mabu MabuRajesh PrasadRaghav YadavPublished in: Int. J. Swarm Intell. Res. (2020)
Keyphrases
- gene expression
- microarray datasets
- feature selection
- using artificial neural networks
- gene expression data
- microarray
- microarray data
- gene expression data sets
- dna microarray
- gene expression profiles
- gene expression microarray data
- high dimensionality
- cancer classification
- gene expression analysis
- feature set
- colon cancer
- classification accuracy
- microarray data analysis
- gene expression datasets
- microarray gene
- unsupervised learning
- gene selection
- gene expression patterns
- gene expression data analysis
- text classification
- support vector
- feature extraction
- gene regulation
- survival prediction
- biological processes
- functional genomics
- support vector machine
- feature ranking
- cancer diagnosis
- text categorization
- fold cross validation
- feature vectors
- gene interactions
- gene sets
- artificial neural networks
- feature space
- decision trees
- data sets
- analysis of gene expression
- gene expression pattern images
- regulatory networks
- transcription factors
- binding sites
- feature selection algorithms
- random forest
- feature subset
- high throughput
- high dimensional
- neural network