Prediction of individualized therapeutic vulnerabilities in cancer from genomic profiles.
Bülent Arman AksoyEmek DemirÖzgün BaburWeiqing WangXiaohong JingNikolaus SchultzChris SanderPublished in: Bioinform. (2014)
Keyphrases
- prediction accuracy
- cell lines
- outcome prediction
- cancer patients
- prediction error
- prediction model
- copy number
- genomic data
- gene prediction
- breast cancer
- prediction algorithm
- prostate cancer
- high throughput
- early detection
- security issues
- learning styles
- neural network
- security vulnerabilities
- learning process
- artificial neural networks