Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank Structure.
The Tien MaiLeiv RønnebergZhi ZhaoManuela ZucknickJukka CoranderPublished in: CIBB (2019)
Keyphrases
- low rank
- missing data
- data sets
- high dimensional data
- learning algorithm
- matrix factorization
- reinforcement learning
- data analysis
- original data
- image data
- active learning
- data points
- small number
- learning problems
- singular value decomposition
- natural images
- supervised learning
- learning process
- training data
- neural network