A clustering-based approach for inferring recurrent neural networks as gene regulatory networks.
Wei-Po LeeKung-Cheng YangPublished in: Neurocomputing (2008)
Keyphrases
- recurrent neural networks
- gene regulatory networks
- clustering gene expression data
- gene regulatory
- reverse engineering
- gene expression data
- neural network
- feed forward
- network model
- recurrent networks
- k means
- clustering algorithm
- artificial neural networks
- echo state networks
- boolean networks
- clustering method
- biological data
- dynamic bayesian networks
- bayesian inference
- cluster analysis
- artificial intelligence
- feature selection
- structure learning
- high dimensional data
- regulatory networks
- latent variables
- regression model