Bipartite network analysis reveals metabolic gene expression profiles that are highly associated with the clinical outcomes of acute myeloid leukemia.
Fanfan XieMingxiong HeLi HeKeqin LiuMenglong LiGuoquan HuZhining WenPublished in: Comput. Biol. Chem. (2017)
Keyphrases
- network analysis
- acute myeloid
- gene expression profiles
- social network analysis
- gene expression
- microarray
- link prediction
- dna microarray
- gene expression data
- complex networks
- bipartite graph
- gene selection
- microarray data
- community detection
- text mining
- self organizing maps
- network structure
- regulatory networks
- cancer classification
- cancer diagnosis
- clustering analysis
- protein protein interactions
- random walk
- tissue samples
- social networks
- database
- high throughput