Handling gene redundancy in microarray data using Grey Relational Analysis.
Li-Juan ZhangZhou-Jun LiHuo-Wang ChenPublished in: Int. J. Data Min. Bioinform. (2008)
Keyphrases
- microarray data
- grey relational analysis
- microarray
- gene expression
- gene selection
- gene expression data
- relevant genes
- gene clusters
- gene networks
- differentially expressed genes
- informative genes
- microarray datasets
- dna microarray data
- meta analysis
- microarray gene expression data
- biologically meaningful
- gene expression patterns
- gene sets
- cancer classification
- saccharomyces cerevisiae
- dna microarray
- fuzzy entropy
- gene expression profiles
- gene expression analysis
- microarray data analysis
- biologically significant
- feature selection
- biological data
- regulatory networks
- microarray analysis
- microarray technology
- gene expression data sets
- high throughput
- data sets
- high dimensional
- high dimensionality
- cluster analysis
- water quality
- small number of samples
- gene ontology
- molecular biology
- analysis of gene expression
- biologically relevant
- biological processes
- gene regulatory networks
- clustering algorithm
- cancer diagnosis
- biological networks
- fuzzy logic
- genome wide
- experimental conditions
- transcription factors