Using Emerging Pattern Based Projected Clustering and Gene Expression Data for Cancer Detection.
Larry T. H. YuFu-Lai ChungStephen Chi-fai ChanSimon M. C. YuenPublished in: APBC (2004)
Keyphrases
- gene expression data
- cancer detection
- gene selection
- microarray
- gene expression profiles
- gene expression analysis
- clustering gene expression data
- gene expression
- cancer classification
- gene expression data analysis
- microarray data
- microarray data analysis
- high dimensionality
- high dimensional data
- analysis of gene expression data
- data sets
- dna microarray
- high dimensional
- simultaneous clustering
- gene expression datasets
- clustering algorithm
- feature selection
- clustering method
- gene regulatory networks
- cluster analysis
- gene expression profiling
- high throughput
- k means
- clustering analysis
- biclustering algorithms
- computer vision
- feature ranking
- gene ontology terms
- microarray datasets
- prostate cancer
- data analysis
- self organizing maps
- pattern recognition
- image processing
- neural network
- hierarchical clustering
- machine learning methods
- unsupervised learning
- low dimensional
- support vector machine
- training set