Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection.
Andrea Di GioacchinoJonah ProcykMarco MolariJohn S. SchreckYu ZhouYan LiuRémi MonassonSimona CoccoPetr SulcPublished in: PLoS Comput. Biol. (2022)
Keyphrases
- machine learning
- data analysis
- case study
- pattern recognition
- statistical analysis
- generative model
- computational intelligence
- design principles
- quantitative analysis
- learning tasks
- image analysis
- computer science
- genetic algorithm
- user interface
- real time
- knowledge based systems
- unsupervised learning
- website
- building blocks
- design process
- software architecture
- statistical methods
- data mining
- data sets