Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Abstract: Federated learning is an emerging research paradigm for enabling collaboratively training deep learning models without sharing patient data. However, the data from different institutions are ...

Abstract: Multi-scale approaches have been widely studied in pathology image analysis. These offer an ability to characterize tissues in an image at various scales, in which the tissues may appear ...

We welcome contributions to Trax! We welcome PRs with code for new models and layers as well as improvements to our code and documentation. We especially love notebooks that explain how models work ...