Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability.
Jonathan ParkinsonWei WangPublished in: J. Chem. Inf. Model. (2023)
Keyphrases
- protein sequences
- deep learning
- protein classification
- computational biology
- unsupervised learning
- unsupervised feature learning
- amino acids
- biological sequences
- protein structure
- machine learning
- weakly supervised
- amino acid sequences
- protein function
- prediction accuracy
- secondary structure
- kernel methods
- support vector
- image segmentation