MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins.
Guillermo López-GarcíaJosé M. JerezDaniel UrdaFrancisco J. VeredasPublished in: IJCNN (2019)
Keyphrases
- deep learning
- subcellular localization
- unsupervised learning
- experimentally determined
- unsupervised feature learning
- machine learning
- protein interaction
- protein sequences
- protein structure
- weakly supervised
- contact map
- deep architectures
- data sets
- mental models
- protein protein interactions
- supervised learning
- amino acids
- viewpoint
- bayesian networks
- training data