Hierarchical clustering combining numerical and biological similarities for gene expression data classification.
Mattia BosioPhilippe SalembierPau BellotAlbert Oliveras-VergésPublished in: EMBC (2013)
Keyphrases
- hierarchical clustering
- gene expression data
- gene expression analysis
- gene expression data analysis
- dna microarray
- cluster ensemble
- analysis of gene expression data
- microarray
- gene expression
- regulatory networks
- cancer classification
- microarray data
- feature selection
- gene expression profiles
- high dimensionality
- dna microarray data
- cancer diagnosis
- microarray datasets
- gene expression datasets
- gene selection
- gene expression patterns
- molecular biology
- biological information
- colon cancer
- pattern recognition
- combining multiple
- single linkage
- yeast cell cycle
- text clustering
- machine learning
- gene regulatory networks
- biological processes
- data sets
- clustering method
- support vector machine svm
- high dimensional
- tissue samples
- gene sets
- high throughput
- high dimensional data
- data mining
- feature extraction
- k means
- partitional clustering
- unsupervised learning
- biological networks
- hierarchical clustering algorithm
- experimental conditions