Learning epistatic interactions from sequence-activity data to predict enantioselectivity.
Julian ZauggYosephine GumulyaAlpeshkumar K. MaldeMikael BodénPublished in: J. Comput. Aided Mol. Des. (2017)
Keyphrases
- input data
- prior knowledge
- data collection
- data sets
- data analysis
- data distribution
- learning systems
- knowledge discovery
- learning algorithm
- sequential data
- learning models
- online learning
- learning tasks
- raw data
- synthetic data
- computer systems
- knowledge acquisition
- data processing
- supervised learning
- image data
- active learning
- high quality
- training data
- original data
- activity theory
- experimental data
- background knowledge
- learning process
- data structure
- databases