A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data.
Yunchuan KongTianwei YuPublished in: Bioinform. (2018)
Keyphrases
- gene expression data
- feature selection
- feed forward
- dna microarray
- high dimensionality
- cancer classification
- microarray
- microarray datasets
- microarray data
- gene expression microarray data
- gene expression
- gene expression profiles
- gene expression analysis
- gene networks
- gene expression data sets
- classification accuracy
- gene selection
- tumor classification
- artificial neural networks
- gene expression datasets
- dna microarray data
- back propagation
- functional genomics
- colon cancer
- cancer diagnosis
- feature set
- feature space
- support vector
- microarray data analysis
- analysis of gene expression data
- gene regulatory networks
- neural network
- high dimensional
- gene expression patterns
- data sets
- feature extraction
- machine learning
- pattern recognition
- support vector machine svm
- dimensionality reduction
- network structure
- high dimensional data
- feature vectors
- feature ranking
- network model
- feature subset
- tissue samples
- high throughput
- genetic algorithm