Mining heterogeneous gene expression data with time lagged recurrent neural networks.
Yulan LiangArpad KelemenPublished in: KDD (2002)
Keyphrases
- recurrent neural networks
- gene expression data
- gene expression
- microarray
- microarray data
- feature selection
- neural network
- gene expression analysis
- feed forward
- gene regulatory networks
- gene expression datasets
- data sets
- analysis of gene expression data
- gene expression data analysis
- gene expression data sets
- gene selection
- gene expression profiles
- recurrent networks
- reservoir computing
- high dimensionality
- artificial neural networks
- dna microarray
- regulatory networks
- pattern mining
- high dimensional
- high dimensional data
- cancer classification
- data mining
- gene expression patterns
- echo state networks
- text mining
- microarray gene expression data
- nonlinear dynamic systems
- gene expression profiling
- clustering gene expression data
- database
- data mining techniques
- cancer diagnosis
- microarray datasets
- high throughput