Identify Cancer Driver Genes Through Shared Mendelian Disease Pathogenic Variants and Cancer Somatic Mutations.
Meng MaChangchang WangBenjamin S. GlicksbergEric E. SchadtShuyu Dan LiRong ChenPublished in: PSB (2017)
Keyphrases
- dna microarray
- gene selection
- candidate genes
- gene expression profiles
- ovarian cancer
- cancer diagnosis
- breast cancer
- gene expression
- colon cancer
- microarray data
- related genes
- microarray
- relevant genes
- cancer classification
- early detection
- cancer patients
- molecular biology
- gene expression data
- gene ontology terms
- early diagnosis
- outcome prediction
- gene expression levels
- expression profiles
- gene sets
- tissue samples
- gene expression data sets
- copy number
- colorectal cancer
- cancer cells
- gene expression datasets
- disease progression
- prostate cancer
- gene clusters
- cancer datasets
- cell lines
- differential expression
- biologically significant
- protein protein interaction networks
- gene ontology
- lung cancer
- high dimensional
- microarray data analysis
- cell cycle
- data sets
- disease surveillance