Inference of gene networks from gene expression time series using recurrent neural networks and sparse MAP estimation.
Chi-Kan ChenPublished in: J. Bioinform. Comput. Biol. (2018)
Keyphrases
- recurrent neural networks
- map estimation
- gene networks
- maximum a posteriori
- gene expression time series
- maximum likelihood
- microarray
- markov random field
- neural network
- feed forward
- gene regulatory networks
- microarray data
- gene expression data
- em algorithm
- bayesian inference
- noisy images
- human genome
- high dimensional
- bayesian networks
- reverse engineering
- image reconstruction
- artificial neural networks
- expectation maximization
- energy function
- parameter estimation
- sparse representation
- systems biology
- gene ontology
- gene expression profiles
- high throughput
- biologically inspired
- biological data
- dynamic bayesian networks
- image segmentation
- data mining
- data sets