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 ...

Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...

The feature relies on features such as memory and chat history, so it is only available to users who have them enabled. If that’s your case, you’ll likely see a “Your Year with ChatGPT” banner as soon ...

Abstract: Although multi-view unsupervised feature selection is a promising technique for dimensionality reduction on unlabeled multi-view data, existing methods cannot directly address incomplete ...