Fuzzy-Adaptive-Subspace-Iteration-Based Two-Way Clustering of Microarray Data.
Jahangheer S. ShaikMohammed YeasinPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2009)
Keyphrases
- microarray data
- microarray data analysis
- cluster analysis
- microarray
- high dimensional
- gene expression
- clustering analysis
- fuzzy clustering
- gene selection
- subspace clustering
- gene expression profiles
- high dimensional data
- gene expression data
- gene expression analysis
- meta analysis
- clustering algorithm
- data sets
- differentially expressed genes
- clustering method
- feature selection
- low dimensional
- microarray classification
- microarray gene expression data
- biological data
- small number of samples
- dna microarray data
- cluster validity
- gene networks
- k means
- high throughput
- unsupervised learning
- microarray datasets
- biologically relevant
- high dimensionality
- biologically meaningful
- gene clusters
- principal component analysis
- gene expression patterns
- data points
- pattern recognition
- subspace clusters
- support vector machine svm
- machine learning
- experimental conditions
- ovarian cancer
- database
- dimensionality reduction