Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia.
Jie ZhangYang XiangLiya DingKristin Keen-CircleTara BorlawskyHatice Gulcin OzerRuoming JinPhilip R. O. PayneKun HuangPublished in: BMC Bioinform. (2010)
Keyphrases
- network analysis
- gene sets
- microarray data
- gene selection
- cancer classification
- differential expression
- gene expression profiles
- gene expression data
- microarray
- social network analysis
- biologically meaningful
- gene expression
- complex networks
- gene ontology
- microarray datasets
- colon cancer
- information networks
- biological networks
- text mining
- genome wide
- link prediction
- protein protein interactions
- statistical significance
- network structure
- candidate genes
- gene clusters
- community detection
- feature selection
- data sets
- dna microarray
- graph theory
- cancer diagnosis
- signaling pathways
- gene expression analysis
- social networks
- dynamic networks
- random walk
- breast cancer
- transcription factors
- graph clustering
- biomedical literature
- pairwise
- knowledge discovery
- biological processes
- real world networks
- machine learning