Clustering of gene expression data using a local shape-based similarity measure.
Rajarajeswari BalasubramaniyanEyke HüllermeierNils WeskampJörg KämperPublished in: Bioinform. (2005)
Keyphrases
- gene expression data
- similarity measure
- gene expression analysis
- microarray
- clustering gene expression data
- gene expression
- high dimensionality
- clustering method
- gene expression data analysis
- gene expression profiles
- high dimensional data
- analysis of gene expression data
- microarray data analysis
- microarray data
- simultaneous clustering
- yeast cell cycle
- clustering algorithm
- feature selection
- data sets
- mutual information
- gene regulatory networks
- gene expression data sets
- gene selection
- dna microarray
- gene expression profiling
- regulatory networks
- unsupervised learning
- gene expression datasets
- high dimensional
- hierarchical clustering algorithm
- k means
- clustering analysis
- microarray datasets
- cancer classification
- microarray gene expression data
- cancer diagnosis
- cluster analysis
- information theoretic
- high throughput
- molecular biology
- biclustering algorithms
- gene networks
- machine learning
- gene ontology terms
- neural network
- nearest neighbor
- document clustering
- hierarchical clustering
- biological data