Independent component analysis: Mining microarray data for fundamental human gene expression modules.
Jesse M. EngreitzBernie J. Daigle Jr.Jonathan J. MarshallRuss B. AltmanPublished in: J. Biomed. Informatics (2010)
Keyphrases
- independent component analysis
- gene expression
- microarray data
- microarray
- gene expression data
- principal component analysis
- gene selection
- factor analysis
- gene expression patterns
- signal processing
- protein interaction
- differentially expressed genes
- high throughput
- analysis of gene expression
- microarray technology
- biological processes
- biological data
- microarray data analysis
- blind source separation
- gene expression analysis
- gene expression profiles
- regulatory networks
- microarray datasets
- gene networks
- saccharomyces cerevisiae
- data mining
- biological networks
- data mining techniques
- knowledge discovery
- binding sites
- gene expression data sets
- dna microarray
- genome wide
- gene clusters
- text mining
- data sets
- experimental conditions
- machine learning
- feature selection
- high dimensional
- cancer diagnosis
- cluster analysis
- cancer classification
- gene sets
- genomic data
- component analysis