A novel PSO-based graph-theoretic approach for identifying most relevant and non-redundant gene markers from gene expression data.
Monalisa MandalAnirban MukhopadhyayPublished in: Int. J. Parallel Emergent Distributed Syst. (2015)
Keyphrases
- gene expression data
- microarray
- gene expression
- microarray data
- high dimensional
- data sets
- gene regulatory networks
- analysis of gene expression data
- high dimensionality
- gene expression data analysis
- gene expression data sets
- yeast cell cycle
- gene expression analysis
- gene expression datasets
- cancer classification
- microarray gene expression data
- regulatory networks
- gene regulation
- gene selection
- gene networks
- cancer diagnosis
- gene expression profiling
- dna microarray data
- feature selection
- dna microarray
- functional genomics
- high dimensional data
- gene expression profiles
- microarray datasets
- experimental conditions
- data clustering
- high throughput
- data analysis