Clustering microarray-derived gene lists through implicit literature relationships.
Mark F. BurkartJonathan D. WrenJason I. HerschkowitzCharles M. PerouHarold R. GarnerPublished in: Bioinform. (2007)
Keyphrases
- microarray
- gene expression
- gene expression profiles
- microarray data analysis
- gene expression analysis
- high dimensionality
- gene expression data
- clustering analysis
- high throughput
- microarray data
- gene selection
- gene ontology
- gene expression data analysis
- yeast cell cycle
- experimental conditions
- gene expression datasets
- clustering method
- gene expression data sets
- differentially expressed genes
- gene networks
- related genes
- molecular biology
- clustering algorithm
- gene expression profiling
- gene clusters
- dna microarray
- expression profiles
- microarray expression data
- cancer classification
- microarray datasets
- k means
- biological knowledge
- gene gene
- self organizing maps
- biological processes
- microarray analysis
- dna microarray data
- data sets
- gene expression microarray data
- biclustering algorithms
- cancer diagnosis
- meta analysis
- transcription factors
- biological data
- hierarchical clustering
- cluster analysis
- feature selection