Comparison of gene regulatory networks to identify pathogenic genes for lymphoma.
Xiao YuTongfeng WengChanggui GuHuijie YangPublished in: J. Bioinform. Comput. Biol. (2020)
Keyphrases
- gene regulatory networks
- gene expression data
- gene expression
- gene regulatory
- microarray
- gene regulation
- microarray gene expression data
- regulatory networks
- yeast cell cycle
- gene interactions
- gene networks
- reverse engineering
- network model
- systems biology
- microarray data
- clustering gene expression data
- data sets
- high dimensionality
- biological data
- biological processes
- boolean networks
- gene expression profiles
- cancer classification
- genetic regulatory networks
- saccharomyces cerevisiae
- high throughput
- feature selection
- gene selection
- microarray datasets
- high dimensional
- high dimensional data
- machine learning
- gene function
- structure learning
- biological knowledge
- data mining
- interaction networks
- bayesian inference
- statistical analysis
- biological networks
- knowledge discovery
- feature space
- cancer diagnosis
- protein sequences