A roadmap for the functional annotation of protein families: a community perspective | 0 | 0.34 | 2022 |
Rethinking Attention with Performers | 0 | 0.34 | 2021 |
Rethinking Attention with Performers. | 0 | 0.34 | 2021 |
Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights | 0 | 0.34 | 2021 |
Model-based reinforcement learning for biological sequence design | 0 | 0.34 | 2020 |
Population-Based Black-Box Optimization for Biological Sequence Design | 0 | 0.34 | 2020 |
Model-based reinforcement learning for biological sequence design. | 0 | 0.34 | 2020 |
The Effect of Debiasing Protein Ligand Binding Data on Generalisation. | 0 | 0.34 | 2020 |
Evaluating Attribution for Graph Neural Networks. | 0 | 0.34 | 2020 |
Critiquing Protein Family Classification Models Using Sufficient Input Subsets. | 1 | 0.37 | 2020 |
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry. | 0 | 0.34 | 2018 |
Protein Sectors: Statistical Coupling Analysis Versus Conservation | 2 | 0.42 | 2015 |
3D Protein Structure Predicted from Sequence | 0 | 0.34 | 2011 |
Charge as a Selection Criterion for Translocation through the Nuclear Pore Complex. | 3 | 0.75 | 2010 |
Action Potential Initiation in the Hodgkin-Huxley Model. | 4 | 0.75 | 2009 |