Conventionally used reference genes are not outstanding for normalization of gene expression in human cancer research.
Jihoon JoSunkyung ChoiJoo-Seong OhSung-Gwon LeeSong Yi ChoiKee K. KimChungoo ParkPublished in: BMC Bioinform. (2019)
Keyphrases
- gene expression
- dna microarray
- gene expression profiles
- microarray
- gene selection
- gene expression data
- colon cancer
- gene expression data sets
- microarray data
- microarray technology
- gene expression data analysis
- differentially expressed
- gene expression patterns
- biological processes
- cancer classification
- differential expression
- protein interaction
- gene expression datasets
- cancer diagnosis
- differentially expressed genes
- regulatory networks
- gene interactions
- survival prediction
- gene regulation
- selected genes
- gene expression analysis
- microarray data analysis
- expression profiles
- analysis of gene expression
- high throughput
- ovarian cancer
- gene expression microarray data
- tissue samples
- functional genomics
- feature selection
- gene expression levels
- relevant genes
- microarray datasets
- binding sites
- biological networks
- data sets
- gene clusters
- drosophila melanogaster
- gene ontology
- microarray gene