Combining multiple clustering and network analysis for discoveries in gene expression data.
Sleiman AlhajjAya AlhajjSibel Tariyan ÖzyerPublished in: ASONAM (2021)
Keyphrases
- network analysis
- combining multiple
- gene expression data
- cluster ensemble
- gene expression data analysis
- gene expression analysis
- multiple clusterings
- gene expression profiles
- social network analysis
- clustering gene expression data
- gene expression
- microarray
- high dimensionality
- analysis of gene expression data
- clustering ensemble
- complex networks
- network structure
- microarray data
- consensus clustering
- fusion methods
- high dimensional data
- text mining
- link prediction
- community detection
- data sets
- high dimensional
- clustering method
- k means
- gene selection
- biclustering algorithms
- clustering algorithm
- microarray datasets
- databases
- graph theory
- regulatory networks
- feature selection
- clustering solutions
- dimensionality reduction
- unsupervised learning
- high throughput
- data clustering
- statistical analysis and data mining
- text clustering
- gene regulatory networks
- hierarchical clustering
- document clustering
- biological data
- community structure
- self organizing maps
- decision trees
- protein protein interactions
- social networks
- data mining