ICP: A novel approach to predict prognosis of prostate cancer with inner-class clustering of gene expression data.
Hyunjin KimJaegyoon AhnChihyun ParkYoungmi YoonSanghyun ParkPublished in: Comput. Biol. Medicine (2013)
Keyphrases
- gene expression data
- prostate cancer
- gene expression analysis
- clustering gene expression data
- microarray
- high dimensionality
- gene expression
- gene expression profiles
- gene expression data analysis
- analysis of gene expression data
- high dimensional data
- cancer patients
- microarray data
- cancer classification
- computer aided
- biclustering algorithms
- data sets
- mr images
- gene selection
- gene expression datasets
- gene regulatory networks
- feature selection
- cluster analysis
- neural network
- clustering algorithm
- data clustering
- high dimensional
- dimensionality reduction
- breast cancer
- survival data
- k means
- cancer diagnosis
- clustering analysis
- feature space
- prognostic models
- gene ontology terms
- high throughput