SGAClust: Semi-supervised Graph Attraction Clustering of gene expression data.
Koyel MandalRosy SarmahPublished in: Netw. Model. Anal. Health Informatics Bioinform. (2022)
Keyphrases
- gene expression data
- semi supervised
- gene expression analysis
- clustering gene expression data
- microarray
- gene expression
- gene expression data analysis
- gene expression profiles
- high dimensionality
- high dimensional data
- semi supervised clustering
- unsupervised learning
- microarray data analysis
- analysis of gene expression data
- yeast cell cycle
- microarray data
- feature selection
- data sets
- simultaneous clustering
- microarray gene expression data
- k means
- self organizing maps
- clustering method
- gene expression profiling
- graph partitioning
- gene regulatory networks
- gene expression datasets
- constrained clustering
- cluster ensemble
- hierarchical clustering
- biclustering algorithms
- high dimensional
- gene ontology terms
- regulatory networks
- clustering analysis
- gene selection
- spectral clustering
- cluster analysis
- high throughput
- dna microarray
- cancer classification
- supervised learning
- semi supervised learning
- active learning
- pairwise constraints
- gene expression data sets
- data clustering
- gene ontology
- pairwise
- weighted graph
- feature space
- pattern recognition
- information theoretic
- database