Bias-Aware Training and Evaluation of Link Prediction Algorithms in Network Biology

Revealing “Rich Node” Bias in Link Prediction Algorithms and Countermeasures — An Interpretation of “Bias-aware Training and Evaluation of Link Prediction Algorithms in Network Biology” 1. Academic Background and Motivation Over the past decade, network biology has played an increasingly important role in uncovering associations and functions of bi...

APNet: An Explainable Sparse Deep Learning Model to Discover Differentially Active Drivers of Severe COVID-19

Academic Background The COVID-19 pandemic has had a significant impact on global public health systems. Although the pandemic has somewhat subsided, its complex immunopathological mechanisms, long-term sequelae (such as “long COVID”), and the potential for similar threats in the future continue to drive in-depth research. Severe COVID-19 cases are ...