False discovery rate, sensitivity and sample size for microarray studies.
Yudi PawitanStefan MichielsSerge KoscielnyArief GusnantoAlexander PlonerPublished in: Bioinform. (2005)
Keyphrases
- sample size
- microarray
- false discovery rate
- high throughput
- gene expression
- microarray data
- gene expression data
- model selection
- microarray analysis
- statistical power
- gene ontology
- high dimensionality
- hypothesis testing
- gene expression profiles
- upper bound
- small sample size
- gene selection
- meta analysis
- gene networks
- gene expression profiling
- feature selection
- statistical tests
- confidence intervals
- error rate
- microarray data analysis
- progressive sampling
- dna microarray
- experimental conditions
- microarray datasets
- related genes
- gene expression analysis
- gene expression data sets
- microarray images
- worst case
- statistical analysis
- cancer classification
- genome wide
- lower bound
- training data
- gene sets
- data mining