Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks.
Emilio FenoyAlejandro A. EderaGeorgina StegmayerPublished in: Briefings Bioinform. (2022)
Keyphrases
- transfer learning
- protein structure prediction
- transfer knowledge
- protein sequences
- drug design
- sequence analysis
- protein structure
- amino acids
- machine learning
- multiple sequence alignment
- previously learned
- learning tasks
- protein function
- protein function prediction
- amino acid sequences
- subcellular localization
- biological entities
- multi task
- text mining
- computational biology
- protein protein interactions
- active learning
- protein interaction data
- multi task learning
- labeled data
- cross domain
- sequence databases
- knowledge transfer
- reinforcement learning
- protein protein interaction networks
- protein folding
- contact map
- transferring knowledge
- secondary structure
- collaborative filtering
- structure learning
- text classification
- machine learning algorithms
- learning algorithm
- protein complexes
- data mining
- protein interaction
- supervised learning
- target domain
- semi supervised learning
- mass spectrometry
- domain adaptation
- computational methods
- information retrieval
- text categorization
- data sources
- drug discovery
- learning environment
- decision trees
- domain specific
- physicochemical properties