Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data of Bacillus Subtilis Using Differential Equations.
Michiel J. L. de HoonSeiya ImotoKazuo KobayashiNaotake OgasawaraSatoru MiyanoPublished in: Pacific Symposium on Biocomputing (2003)
Keyphrases
- gene expression data
- gene regulatory networks
- differential equations
- microarray
- gene expression
- ordinary differential equations
- yeast cell cycle
- gene networks
- microarray data
- gene regulation
- dynamical systems
- regulatory networks
- microarray gene expression data
- systems biology
- data sets
- gene expression analysis
- high dimensionality
- feature selection
- high dimensional
- high dimensional data
- gene selection
- gene expression data sets
- high throughput
- biological networks
- biological knowledge
- gene expression patterns
- biological data
- dna microarray
- gene expression profiles
- partial differential equations
- reverse engineering
- pattern recognition
- gene function
- reinforcement learning
- bayesian networks
- machine learning