GitHub

MDDTA: A Drug Target Binding Affinity Prediction Method Based on Molecular Dynamics Simulation Data Enhancement

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 ...
IEEE

Adaptive Intermediate Class-Wise Distribution Alignment: A Universal Domain Adaptation and Generalization Method for Machine Fault Diagnosis

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, ...
IEEE

Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System

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 ...
AlphaGalileo

fCUT＆Tag-Seq: A novel epigenetic method for high-resolution profiling of histone modifications and chromatin-binding protein distribution in fungi

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" ...
Frontiers

Neurological Autoimmunity: etiology, infectious complications, treatment strategies and outcomes in antibody-associated syndromes and beyond

Autoimmune neurology encompasses a wide spectrum of immune-mediated disorders with various neurologic manifestations. New neuronal antibodies are discovered each year; thus, the field continues to ...