This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

The purpose of statistical model selection is to identify a parsimonious model, which is a model that is as simple as possible while maintaining good predictive ability over the outcome of interest.

To change the model selection criterion, click the button labeled Root Mean Square Error or select Options from the menu bar and then select Model Selection Criterion ...