Mixed-Integer Programming Model for Profiling Disease Biomarkers from Gene Expression Studies.
André M. SantiagoMiguel RochaAntónio DouradoJoel P. ArraisPublished in: IWBBIO (2) (2017)
Keyphrases
- gene expression
- functional genomics
- candidate genes
- microarray
- gene selection
- gene expression profiles
- differential expression
- differentially expressed
- microarray data
- ovarian cancer
- mixed integer programming model
- gene expression data
- disease genes
- dna microarray
- differentially expressed genes
- gene sets
- high throughput technologies
- gene expression patterns
- gene interactions
- gene regulation
- biological processes
- capacity expansion
- biological networks
- gene expression analysis
- biological knowledge
- genetic variation
- microarray data analysis
- drug design
- binding sites
- genomic data
- breast cancer
- gene expression data sets
- cancer classification
- experimental conditions
- high dimensional
- protein protein interaction networks
- cancer diagnosis
- microarray datasets
- transcription factors
- gene expression microarray data