Fig. 1From: An uncertainty-based interpretable deep learning framework for predicting breast cancer outcomeThe architecture of UISNet for breast cancer outcome evaluation. Prior biological pathway information is introduced in the sparse layer, and UISNet predicts breast cancer outcomes by integrating patient heterogeneity clustering, dimensionality reduction, and cancer outcome prediction tasks into a unified frameworkBack to article page