A Novel Cox Proportional Hazards Model for High-Dimensional Genomic Data in Cancer Prognosis.
Hai-Hui HuangYong LiangPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2021)
Keyphrases
- proportional hazards model
- genomic data
- outcome prediction
- variable selection
- high dimensional
- gene expression data
- survival prediction
- survival analysis
- high throughput
- gene expression
- breast cancer
- biological data
- low dimensional
- dimension reduction
- protein protein interactions
- cross validation
- gene expression profiles
- gene selection
- experimental conditions
- high dimensionality
- dimensionality reduction
- microarray data
- microarray
- model selection
- gene ontology
- data integration
- high dimensional data
- feature space
- survival data
- databases
- nearest neighbor
- transcription factors
- data sets
- support vector
- data mining
- data mining methods
- neural network