Weighted Frequent Gene Co-expression Network Mining to Identify Genes Involved in Genome Stability.
Jie ZhangKewei LuYang XiangMuhtadi IslamShweta KotianZeina KaisCindy LeeMansi AroraHui-wen LiuJeffrey D. ParvinKun HuangPublished in: PLoS Comput. Biol. (2012)
Keyphrases
- gene expression levels
- microarray
- gene expression
- gene sets
- gene ontology
- microarray data
- gene expression data
- gene networks
- high throughput
- regulatory networks
- genetic networks
- escherichia coli
- expression profiles
- microarray data analysis
- cis regulatory
- sequenced genomes
- binding sites
- gene selection
- gene gene
- biological pathways
- genomic sequences
- interaction networks
- coding regions
- gene expression profiles
- microarray expression data
- network model
- comparative genomics
- genome scale
- frequent patterns
- microarray technology
- gene regulatory networks
- evolutionary history
- sequence data
- dna microarray
- protein interaction
- gene clusters
- genomic data
- gene expression patterns
- gene expression datasets
- biological processes
- gene function
- genome rearrangements
- gene expression analysis
- single nucleotide polymorphisms
- statistical significance
- metabolic pathways
- human genome
- text mining
- reverse engineering
- protein protein interactions
- transcriptional regulation
- systems biology
- protein protein interaction networks
- genome sequences
- microarray datasets
- transcription factor binding sites
- biomedical literature
- genome wide
- cancer classification
- relevant genes
- essential genes
- gene prediction
- saccharomyces cerevisiae
- biological systems
- gene regulation