PlasmoFAB: A Benchmark to Foster Machine Learning for Plasmodium falciparum Protein Antigen Candidate Prediction.
Jonas Christian DitzJacqueline Wistuba-HamprechtTimo MaierRolf FendelNico PfeiferBernhard ReuterPublished in: CoRR (2023)
Keyphrases
- machine learning
- protein secondary structure
- protein secondary structure prediction
- subcellular localization
- recursive neural networks
- contact map
- prediction accuracy
- protein structure prediction
- drug design
- prediction model
- protein sequences
- remote homology detection
- protein classification
- machine learning methods
- protein tertiary structure
- machine learning algorithms
- learning algorithm
- computational biology
- computer science
- protein structure
- prediction error
- decision trees
- contact maps
- gene prediction
- protein function prediction
- real world
- protein chains
- predicting protein
- predictive modeling
- computational intelligence
- supervised learning
- support vector machine
- feature selection
- sequence analysis
- immune response
- psi blast
- feature ranking
- experimentally determined
- physico chemical
- information extraction
- artificial intelligence