Significance tests for analyzing gene expression data with small sample sizes.
Insha UllahSudhir PaulZhenjie HongYou-Gan WangPublished in: Bioinform. (2019)
Keyphrases
- gene expression data
- sample size
- significance tests
- hypothesis tests
- microarray
- gene expression
- microarray data
- random sample
- model selection
- small sample size
- gene regulatory networks
- feature selection
- gene expression data analysis
- data sets
- gene expression analysis
- high dimensionality
- microarray gene expression data
- cancer classification
- gene selection
- high dimensional
- regulatory networks
- analysis of gene expression data
- hypothesis testing
- gene expression profiles
- gene expression datasets
- high dimensional data
- statistical tests
- dna microarray
- clustering gene expression data
- upper bound
- dimensionality reduction
- experimental conditions
- structure learning
- confidence intervals
- worst case
- gene expression data sets
- gene ontology
- statistical analysis