Learned protein embeddings for machine learning.
Kevin K. YangZachary WuClaire N. BedbrookFrances H. ArnoldPublished in: Bioinform. (2018)
Keyphrases
- machine learning
- machine learning methods
- natural language processing
- learning algorithm
- decision trees
- machine learning algorithms
- dimensionality reduction
- protein sequences
- learning tasks
- feature selection
- amino acids
- computational intelligence
- protein interaction data
- manifold learning
- learning systems
- knowledge acquisition
- computational biology
- pattern recognition
- protein structure prediction
- euclidean space
- protein protein interactions
- inductive logic programming
- data mining
- vector space
- text classification
- active learning
- data sets
- statistical methods
- protein structure
- supervised learning
- information extraction
- support vector machine
- sequence alignment
- drug discovery
- artificial intelligence
- protein function
- protein classification
- subcellular localization