Combining Not-Proper ROC Curves and Hierarchical Clustering to Detect Differentially Expressed Genes in Microarray Experiments.
Stefano ParodiVito PistoiaMarco MuselliPublished in: CIBB (2013)
Keyphrases
- hierarchical clustering
- differentially expressed genes
- microarray
- roc curve
- gene expression
- microarray data
- high throughput
- gene expression data
- differentially expressed
- clustering method
- microarray data analysis
- clustering algorithm
- high dimensionality
- gene ontology
- gene selection
- gene expression profiles
- transcription factors
- gene expression analysis
- evaluation measures
- combining multiple
- biological networks
- statistical significance
- biological data
- data sets
- k means
- data streams
- feature selection