Random Matrix Theory and Covariance Matrix Filtering for Cancer Gene Expression.
Leif E. PetersonCharles E. FordPublished in: CIBB (2012)
Keyphrases
- statistical significance
- covariance matrix
- random matrix theory
- differential expression
- correlation matrix
- gene expression
- binding sites
- microarray
- gene selection
- dna microarray
- gene expression profiles
- covariance matrices
- gene expression data sets
- colon cancer
- gene expression data analysis
- survival prediction
- microarray data
- sample size
- principal component analysis
- gene expression data
- analysis of gene expression
- biological processes
- principal components
- cancer diagnosis
- gene expression patterns
- objective function
- gene interactions
- gene expression microarray data
- gene expression analysis
- cancer classification
- ovarian cancer
- tissue samples
- experimental conditions
- lung cancer
- high throughput
- pattern recognition