Identification of phenotype-relevant differentially expressed genes in breast cancer demonstrates enhanced quantile discretization protocol's utility in multi-platform microarray data integration.
Darlington S. MapiyeAlan ChristoffelsJunaid GamieldienPublished in: J. Bioinform. Comput. Biol. (2016)
Keyphrases
- feature extraction
- data integration
- breast cancer
- differentially expressed genes
- microarray
- gene expression
- microarray data
- high throughput
- cancer datasets
- gene expression data
- related genes
- data sources
- databases
- early detection
- microarray data analysis
- data model
- data management
- genome wide
- biological data
- gene ontology
- logistic regression
- data warehouse
- experimental conditions
- high dimensionality
- gene expression analysis
- cancer classification
- molecular biology
- gene expression profiles
- gene selection
- binding sites
- cancer diagnosis
- business intelligence
- gene networks
- transcription factors
- genomic data
- microarray datasets
- database
- gene expression datasets
- database systems