Network-Based Inference of Cancer Progression from Microarray Data.
Yongjin ParkStanley ShackneyRussell SchwartzPublished in: ISBRA (2008)
Keyphrases
- microarray data
- gene selection
- biologically significant
- cancer classification
- relevant genes
- microarray
- gene expression profiles
- microarray technology
- dna microarray
- gene expression
- gene expression data
- gene expression data sets
- ovarian cancer
- high dimensional
- cancer diagnosis
- cluster analysis
- feature selection
- gene sets
- data sets
- biological data
- colon cancer
- meta analysis
- biologically relevant
- microarray data analysis
- analysis of gene expression
- informative genes
- dna microarray data
- microarray datasets
- gene networks
- microarray classification
- differentially expressed genes
- microarray gene expression data
- random forest
- gene expression patterns
- early detection
- feature ranking
- small number of samples
- high throughput
- gene expression microarray data
- selected genes
- biologically meaningful
- gene expression datasets
- gene clusters
- gene expression analysis
- experimental conditions
- support vector machine svm
- probabilistic model
- machine learning