ExPath: Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation

ArXi:2502.18026v3 Announce Type: replace-cross Retrieving targeted pathways in biological knowledge bases, particularly when incorporating wet-lab experimental data, remains a challenging task and often requires downstream analyses and specialized expertise. In this paper, we frame this challenge as a solvable graph learning and explaining task and propose a novel subgraph inference framework, ExPAth, that explicitly integrates experimental data to classify various graphs (bio-networks) in biological databases.