CASPAR: a hierarchical bayesian approach to predict survival times in cancer from gene expression data.
Lars KaderaliThomas ZanderUlrich FaigleJürgen WolfJoachim L. SchultzeRainer SchraderPublished in: Bioinform. (2006)
Keyphrases
- gene expression data
- gene selection
- cancer diagnosis
- gene expression profiles
- dna microarray
- microarray
- cancer classification
- gene expression
- gene expression datasets
- gene expression data sets
- biologically significant
- tissue samples
- microarray data
- gene expression profiling
- gene expression data analysis
- colon cancer
- cancer datasets
- data sets
- gene expression analysis
- feature selection
- gene regulatory networks
- microarray gene expression data
- gene networks
- tumor classification
- high dimensionality
- high throughput
- high dimensional data
- high dimensional
- analysis of gene expression
- analysis of gene expression data
- gene ontology terms
- genomic data
- regulatory networks
- molecular biology
- breast cancer
- experimental conditions
- random forest
- neural network
- gene expression microarray data
- gene ontology
- computational biology
- biological data
- text mining
- principal component analysis
- nearest neighbor
- pattern recognition
- database