Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model.
Lujia ChenChunhui CaiVicky ChenXinghua LuPublished in: BMC Bioinform. (2016)
Keyphrases
- hierarchical representation
- learning scheme
- computational model
- learning algorithm
- neural network
- mathematical model
- high level
- learning process
- learning models
- bayesian networks
- objective function
- learning systems
- unsupervised learning
- probabilistic model
- hidden markov models
- learning tasks
- multiresolution
- hidden variables
- pattern recognition
- learning mechanism
- component analysis
- feedforward neural networks
- data sets