Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory.
Feng LuoYunfeng YangJianxin ZhongHaichun GaoLatifur KhanDorothea K. ThompsonJizhong ZhouPublished in: BMC Bioinform. (2007)
Keyphrases
- expression profiles
- gene function
- gene regulatory networks
- gene networks
- gene expression
- microarray
- random matrix theory
- gene sets
- gene expression data
- gene ontology
- genetic networks
- gene expression profiles
- gene gene
- microarray data
- gene expression levels
- biological networks
- functional modules
- signaling pathways
- interaction networks
- regulatory networks
- differential expression
- genome wide
- gene selection
- saccharomyces cerevisiae
- microarray gene expression data
- network model
- systems biology
- escherichia coli
- biologically meaningful
- high throughput
- protein protein interaction networks
- gene regulation
- cell cycle
- cis regulatory
- reverse engineering
- sequence data
- protein protein interactions
- gene clusters
- dna microarray
- disease genes
- differentially expressed genes
- gene ontology terms
- cancer classification
- protein interaction networks
- candidate genes
- correlation matrix
- gene expression patterns
- alternative splicing
- biological processes
- biological entities
- microarray expression data
- gene expression datasets
- homo sapiens
- splice site
- biomedical literature
- microarray datasets
- genomic sequences
- comparative genomics
- biological systems
- biological data
- sequenced genomes
- microarray data analysis
- high dimensional