A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction.
Kaiwen TanWeixian HuangJinlong HuShoubin DongPublished in: BMC Medical Informatics Decis. Mak. (2020)
Keyphrases
- endpoints
- prediction accuracy
- outcome prediction
- learning algorithm
- supervised learning
- prediction model
- breast cancer
- line segments
- prostate cancer
- prediction algorithm
- minimal cost
- semi supervised
- supervised classification
- unsupervised learning
- data sets
- prediction error
- early detection
- geodesic paths
- machine learning