A novel scan statistics approach for clustering identification and comparison in binary genomic data.
Danilo PellinClelia Di SerioPublished in: BMC Bioinform. (2016)
Keyphrases
- genomic data
- high throughput
- gene expression profiles
- clustering algorithm
- k means
- biological data
- protein protein interactions
- gene expression
- clustering method
- self organizing maps
- gene ontology
- unsupervised learning
- data clustering
- microarray
- high dimensional data
- experimental conditions
- monitoring system
- gene expression data
- high dimensionality
- cluster analysis
- information theoretic
- data sets
- data processing
- dimensionality reduction
- social networks