Identification of genes associated with cancer prognosis in glioma: In silico data analyses of Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA).
Junjie LvFubin RenZhengyu LvZhiqiang ChangWan LiYuehan HeLina ChenPublished in: J. Bioinform. Comput. Biol. (2021)
Keyphrases
- gene sets
- copy number
- microarray technology
- high throughput
- microarray data
- microarray
- gene ontology
- data sets
- breast cancer
- cancer diagnosis
- gene selection
- genome scale
- data sources
- cancer datasets
- dna microarray
- biologically significant
- sequenced genomes
- early detection
- genome sequences
- lung cancer
- genome wide
- statistical significance
- statistical methods
- mr images
- image data