Finding cancer subtypes in microarray data using random projections.
Debashis GhoshPublished in: Neurocomputing (2006)
Keyphrases
- microarray data
- random projections
- gene selection
- gene expression profiles
- cancer diagnosis
- microarray
- cancer classification
- microarray datasets
- dna microarray
- biologically significant
- gene expression
- gene expression data
- microarray technology
- dimension reduction
- high dimensionality
- high dimensional
- feature selection
- data sets
- dimensionality reduction
- ovarian cancer
- colon cancer
- microarray data analysis
- original data
- gene sets
- cluster analysis
- sparse representation
- low dimensional
- random sampling
- high throughput
- principal component analysis
- image reconstruction
- support vector machine svm
- hash functions
- support vector machine
- co occurrence
- text categorization
- document clustering
- breast cancer
- similarity search