Gene expression data clustering using tree-like SOMs with evolving splitting-merging structures.
Marian B. GorzalczanyFilip RudzinskiJakub PiekoszewskiPublished in: IJCNN (2016)
Keyphrases
- gene expression data
- self organizing maps
- gene expression analysis
- microarray
- clustering gene expression data
- high dimensionality
- gene expression
- gene expression profiles
- gene expression data analysis
- high dimensional data
- microarray data analysis
- analysis of gene expression data
- simultaneous clustering
- microarray data
- gene expression profiling
- high dimensional
- gene expression datasets
- microarray gene expression data
- feature selection
- clustering method
- clustering algorithm
- k means
- cancer diagnosis
- dna microarray
- yeast cell cycle
- gene regulatory networks
- high throughput
- gene expression data sets
- regulatory networks
- gene selection
- neural network
- gene networks
- biclustering algorithms
- data clustering
- clustering ensemble
- microarray datasets
- hierarchical clustering
- multiple clusterings
- cluster analysis
- gene ontology terms
- data sets
- cancer classification
- tissue samples
- molecular biology
- unsupervised learning