Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups.
Oscar M. RuedaStephen John SammutJosé A. SeoaneSuet-Feung ChinJennifer L. Caswell-JinMaurizio CallariRajbir Nath BatraBernard PereiraAlejandra BrunaH. Raza AliElena ProvenzanoBin LiuMichelle ParisienCheryl GillettSteven McKinneyAndrew R. GreenLeigh MurphyArnie PurushothamIan O. EllisPaul D. P. PharoahCristina RuedaSamuel AparicioCarlos CaldasChristina CurtisPublished in: Nat. (2019)
Keyphrases
- breast cancer
- computer aided diagnosis
- breast cancer diagnosis
- related genes
- diagnosis of breast cancer
- early detection
- logistic regression
- survival analysis
- computer aided detection
- high throughput
- breast cancer detection
- bladder cancer
- genomic data
- cad systems
- benign and malignant
- digital mammography
- breast cancer patients
- data mining and statistical
- breast tissue
- gene expression data
- object oriented
- data mining