This repository hosts the full reproducible pipeline for our study “Graph Attention Network-Based Multi-Omics Data Integration for Precise Key Gene Prediction in Triple-Negative Breast Cancer (TNBC)”.

Abstract: Recent studies have revealed that Deep Neural Networks (DNNs) are highly vulnerable to adversarial examples, which are generated by introducing imperceptible perturbations to clean images, ...

Abstract: Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have ...