A comparative study of statistical methods used to identify dependencies between gene expression signals.
Suzana de Siqueira SantosDaniel Yasumasa TakahashiAsuka NakataAndré FujitaPublished in: Briefings Bioinform. (2014)
Keyphrases
- gene expression
- statistical methods
- microarray
- statistical analysis
- gene expression data
- microarray data
- biological processes
- biological data
- computational methods
- gene regulation
- gene expression patterns
- machine learning methods
- machine learning
- gene expression profiles
- gene expression levels
- statistical tests
- gene expression data analysis
- statistical models
- binding sites
- regulatory networks
- high throughput
- risk factors
- functional genomics
- differentially expressed genes
- colon cancer
- analysis of gene expression
- microarray datasets
- gene selection
- dna microarray
- transcription factors
- experimental conditions
- gene ontology
- biological networks
- maximum likelihood
- feature selection