Comparing batch update with randomized update for identifying salient genes applied to cancer gene expression clustering.
Chien-Hsing ChenPublished in: J. Inf. Sci. (2014)
Keyphrases
- gene expression
- gene expression profiles
- microarray
- gene expression data
- gene expression data analysis
- microarray gene
- microarray data
- gene selection
- dna microarray
- gene expression analysis
- colon cancer
- differential expression
- microarray data analysis
- gene expression data sets
- microarray technology
- gene expression patterns
- biological processes
- gene regulation
- cancer classification
- differentially expressed genes
- analysis of gene expression
- high throughput
- differentially expressed
- expression profiles
- cancer diagnosis
- survival prediction
- regulatory networks
- k means
- high dimensionality
- clustering algorithm
- functional genomics
- drosophila melanogaster
- gene expression datasets
- gene products
- gene interactions
- feature selection
- gene networks
- clustering analysis
- protein interaction
- biological networks
- selected genes
- gene ontology
- molecular biology
- high dimensional
- gene expression microarray data
- gene regulatory networks
- disease genes
- experimental conditions
- transcription factors
- genomic data
- ovarian cancer
- gene clusters