Two-stage clustering analysis to detect pattern change of biomarker expression between experimental conditions.
Ik-Soo HuhSunghoon ChoiYoujin KimSoo-yeon ParkOran KwonTaesung ParkPublished in: Int. J. Data Min. Bioinform. (2020)
Keyphrases
- clustering analysis
- experimental conditions
- microarray
- gene expression data
- gene expression
- high throughput
- microarray data
- gene sets
- high dimensionality
- gene expression profiles
- gene ontology
- gene selection
- genomic data
- gene expression datasets
- cancer classification
- cluster membership
- fuzzy clustering
- data sets
- gene regulatory networks
- anomaly detection
- clustering algorithm
- database
- clustering method
- data mining
- microarray datasets
- validity measures
- regulatory networks
- lung cancer
- data clustering
- knowledge discovery
- expert systems
- training data
- databases