Learning Bayesian Networks by Lamarckian Genetic Algorithm and Its Application to Yeast Cell-Cycle Gene Network Reconstruction from Time-Series Microarray Data.
Sun-Chong WangSai-Ping LiPublished in: BioADIT (2004)
Keyphrases
- gene networks
- yeast cell cycle
- microarray data
- microarray
- gene expression data
- gene expression
- gene regulatory networks
- gene selection
- feature selection
- gene expression profiles
- data sets
- biological data
- high dimensional
- high throughput
- structure learning
- cluster analysis
- bayesian networks
- conditional independence
- gene ontology
- similarity measure
- molecular biology
- experimental conditions
- microarray datasets
- gene sets
- feature extraction
- database