Finding Clusters of Positive and Negative Coregulated Genes in Gene Expression Data.
Kerstin KochStefan SchönauerIvy JansenJan Van den BusscheTomasz BurzykowskiPublished in: BIBE (2007)
Keyphrases
- positive and negative
- gene expression data
- analysis of gene expression data
- gene expression
- expression patterns
- microarray
- microarray data
- gene microarray data
- biologically significant
- microarray gene expression data
- gene expression analysis
- dna microarray
- gene expression datasets
- gene clusters
- gene regulatory networks
- gene selection
- cancer classification
- data sets
- gene expression patterns
- decision rules
- gene regulation
- gene expression data analysis
- gene expression profiling
- yeast cell cycle
- gene networks
- clustering gene expression data
- high dimensionality
- feature selection
- informative genes
- gene expression profiles
- dna microarray data
- biological information
- gene expression data sets
- genomic data
- functional genomics
- biologically relevant
- machine learning
- cancer diagnosis
- high dimensional
- biological processes
- microarray data analysis
- regulatory networks
- data analysis
- data points
- analysis of gene expression
- neural network