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This repository contains the MDDTA model, a deep learning-based approach for drug target binding affinity prediction. The code and data provided facilitate training the model and conducting drug ...

Abstract: Many transfer learning methods have been proposed to implement fault transfer diagnosis, and their loss functions are usually composed of task-related losses, distribution distance losses, ...

Abstract: Machine learning aims to generate a predictive model from a training dataset of a fixed number of known classes. However, many real-world applications (such as health monitoring and elderly ...

Fungal development, environmental adaptation, and pathogenesis all depend on the precise regulation of gene expression. Histone modifications and chromatin-binding proteins serve as key "switches" ...