Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine.
Qiang GuAnup KumarSimon BrayAllison CreasonAlireza KhanteymooriVahid JaliliBjörn A. GrüningJeremy GoecksPublished in: PLoS Comput. Biol. (2021)
Keyphrases
- machine learning
- maximum likelihood
- artificial intelligence
- data mining
- machine learning algorithms
- knowledge acquisition
- pattern recognition
- computer science
- decision trees
- application domains
- computational intelligence
- natural language processing
- active learning
- lightweight
- machine learning approaches
- intelligent systems
- model selection
- explanation based learning
- support vector machine
- feature selection
- learning systems
- future directions
- inductive learning
- learning tasks
- learning problems
- text mining
- information extraction
- knowledge representation
- computer vision
- machine learning and data mining
- statistical learning
- memory efficient
- real time
- easily accessible
- inductive logic programming
- machine learning methods
- transfer learning
- text classification
- supervised learning
- data analysis
- reinforcement learning
- data sets