Learned protein embeddings for machine learning.
Kevin K. YangZachary WuClaire N. BedbrookFrances H. ArnoldPublished in: Bioinform. (2018)
Keyphrases
- machine learning
- decision trees
- machine learning methods
- machine learning algorithms
- pattern recognition
- data mining
- computational biology
- amino acids
- feature selection
- protein structure
- low dimensional
- protein sequences
- learning tasks
- vector space
- text classification
- support vector machine
- sequence analysis
- protein structure prediction
- latent space
- active learning
- computer vision
- data analysis
- computer science
- reinforcement learning
- hilbert space
- knowledge discovery
- machine learning approaches
- learning algorithm
- euclidean space
- similarity measure
- manifold learning
- statistical methods
- high dimensional
- learning systems
- knowledge acquisition
- data points
- data sets
- distance measure
- natural language processing
- information extraction