An approach to gene-based testing accounting for dependence of tests among nearby genes.
Ronald YurkoKathryn RoederBernie DevlinMax G'sellPublished in: Briefings Bioinform. (2021)
Keyphrases
- gene expression
- gene expression data
- gene ontology
- microarray
- escherichia coli
- microarray gene expression data
- gene regulatory networks
- gene selection
- test cases
- disease genes
- gene networks
- microarray data
- candidate genes
- gene function
- gene clusters
- biologically meaningful
- differentially expressed genes
- gene expression profiles
- microarray gene
- test suite
- dna microarray data
- microarray expression data
- sequenced genomes
- gene sets
- splice site
- gene expression patterns
- gene expression analysis
- gene structure prediction
- dna microarray
- biomedical literature
- biological processes
- statistical tests
- alternative splicing
- regulatory networks
- gene regulation
- cancer classification
- microarray datasets
- gene prediction
- interaction networks
- homo sapiens
- genomic sequences
- gene ontology terms
- biological entities
- coding regions
- microarray analysis
- gene expression datasets
- single nucleotide polymorphisms
- gene gene
- statistical significance
- rna seq
- gene products
- genome scale
- gene expression data sets
- saccharomyces cerevisiae
- dna sequences
- high throughput
- related genes
- genome wide
- cell cycle
- genomic data
- protein protein interaction networks
- protein coding regions
- network model
- evolutionary history
- comparative genomics
- experimental conditions
- feature selection