Discovering statistically significant biclusters in gene expression data.
Amos TanayRoded SharanRon ShamirPublished in: ISMB (2002)
Keyphrases
- statistically significant
- gene expression data
- microarray
- gene expression
- microarray data
- learning styles
- statistical significance
- data sets
- feature selection
- gene expression analysis
- high dimensionality
- gene regulatory networks
- gene selection
- biclustering algorithms
- high dimensional
- control group
- gene expression data analysis
- statistical tests
- analysis of gene expression data
- biologically significant
- gene expression profiling
- microarray gene expression data
- dna microarray
- cancer classification
- gene expression profiles
- gene expression datasets
- high dimensional data
- pearson correlation
- data matrix
- high throughput
- gene expression patterns
- microarray datasets
- highly correlated
- low dimensional
- nearest neighbor
- machine learning