Integrating gene expression and GO classification for PCA by preclustering.
Jorn R. de HaanEster PiekRené C. van SchaikJacob de VliegSusanne BauerschmidtLutgarde M. C. BuydensRon WehrensPublished in: BMC Bioinform. (2010)
Keyphrases
- gene expression
- microarray
- colon cancer
- gene expression profiles
- gene expression data
- microarray gene
- gene expression analysis
- gene expression microarray data
- dna microarray
- microarray data
- microarray data analysis
- microarray datasets
- feature extraction
- gene expression data analysis
- gene expression patterns
- functional genomics
- decision trees
- survival prediction
- biological processes
- principal component analysis
- high dimensionality
- support vector machine svm
- drosophila melanogaster
- cancer classification
- cancer diagnosis
- gene expression data sets
- gene selection
- svm classifier
- feature selection
- feature space
- biological networks
- binding sites
- high throughput
- gene regulation
- regulatory networks
- machine learning methods
- clustering analysis
- analysis of gene expression