Sample size for gene expression microarray experiments.
Chen-An TsaiSue-Jane WangDung-Tsa ChenJames J. ChenPublished in: Bioinform. (2005)
Keyphrases
- sample size
- gene expression
- microarray
- gene expression data
- high throughput
- microarray data
- upper bound
- gene expression analysis
- high dimensionality
- gene regulation
- gene selection
- biological processes
- gene ontology
- model selection
- gene expression data sets
- gene networks
- gene expression profiles
- gene expression data analysis
- microarray data analysis
- small sample size
- gene expression patterns
- functional genomics
- analysis of gene expression
- experimental conditions
- microarray technology
- transcription factors
- biological networks
- differentially expressed genes
- cancer classification
- gene expression datasets
- expression profiles
- data sets
- differentially expressed
- regulatory networks
- worst case
- biological data
- molecular biology
- dna microarray
- systems biology
- statistical tests
- expression patterns
- gene expression levels
- cancer diagnosis
- genome wide
- machine learning
- binding sites
- colon cancer