Mining tissue specificity, gene connectivity and disease association to reveal a set of genes that modify the action of disease causing genes.
Antonio ReverterAaron InghamBrian P. DalrymplePublished in: BioData Min. (2008)
Keyphrases
- gene gene
- candidate genes
- complex diseases
- gene sets
- microarray
- disease genes
- gene networks
- gene function
- gene expression
- differentially expressed genes
- microarray data
- gene gene interactions
- dna microarray
- gene selection
- biological entities
- gene clusters
- gene ontology
- gene regulatory networks
- expression profiles
- gene expression data
- protein protein interaction networks
- related genes
- linkage disequilibrium
- gene interactions
- statistical significance
- saccharomyces cerevisiae
- gene expression profiles
- microarray gene expression data
- genome wide
- microarray data analysis
- high throughput
- signaling pathways
- cancer classification
- biological pathways
- genome wide association studies
- functional genomics
- gene expression patterns
- feature selection
- systems biology
- biologically meaningful
- splice site
- biomedical literature
- association studies
- regulatory networks
- escherichia coli
- gene expression analysis
- alternative splicing