The nonlinear correlation character of gene expression data on Alzheimer's disease and hierarchy clustering of co-regulated gene.
Chao-Yang PangYong LiShuai-Qing LiuBen-Qiong HuPublished in: GrC (2011)
Keyphrases
- gene expression data
- gene expression analysis
- microarray
- gene expression
- gene expression profiles
- clustering gene expression data
- high dimensionality
- gene microarray data
- dna microarray
- gene regulatory networks
- gene expression data analysis
- functional genomics
- expression profiles
- microarray data analysis
- high dimensional data
- data sets
- microarray data
- analysis of gene expression data
- gene ontology terms
- yeast cell cycle
- biological knowledge
- gene selection
- gene expression datasets
- microarray gene expression data
- candidate genes
- clustering analysis
- gene function
- gene regulation
- clustering algorithm
- regulatory networks
- gene expression data sets
- cancer diagnosis
- feature selection
- clustering method
- gene networks
- cancer classification
- gene clusters
- dna microarray data
- biclustering algorithms
- high dimensional
- k means
- gene expression patterns
- microarray datasets
- saccharomyces cerevisiae
- highly correlated
- genomic data
- molecular biology
- cluster analysis
- high throughput
- data clustering
- informative genes
- biological information
- gene expression levels
- dimensionality reduction
- disease genes
- principal component analysis