A Method to Facilitate Cancer Detection and Type Classification from Gene Expression Data using a Deep Autoencoder and Neural Network.
Xi ChenJin XieQingcong YuanPublished in: CoRR (2018)
Keyphrases
- classification accuracy
- neural network
- cancer detection
- pattern recognition
- support vector machine
- gene expression data
- machine learning methods
- gene selection
- feature vectors
- feature extraction
- unsupervised learning
- microarray
- gene expression
- high dimensionality
- gene expression analysis
- dna microarray data
- tumor classification
- microarray data
- medical images
- k means
- decision trees