Learning influential genes on cancer gene expression data with stacked denoising autoencoders.
Vitor TeixeiraRui CamachoPedro G. FerreiraPublished in: BIBM (2017)
Keyphrases
- gene expression data
- denoising
- gene selection
- gene expression
- microarray
- dna microarray
- gene expression profiles
- microarray data
- cancer classification
- gene expression datasets
- gene expression data analysis
- gene expression profiling
- cancer diagnosis
- microarray gene expression data
- gene regulatory networks
- high dimensional
- tissue samples
- high dimensionality
- gene expression data sets
- cancer datasets
- clustering gene expression data
- image processing
- gene expression analysis
- high throughput
- high dimensional data
- biologically significant
- feature selection
- gene networks
- regulatory networks
- molecular biology
- dna microarray data
- colon cancer
- gene expression patterns
- microarray technology
- feature space
- selected genes
- feature extraction
- gene expression microarray data