BioinformaticsbioRxivPreprint
AUC-PR is a More Informative Metric for Assessing the Biological Relevance of In Silico Cellular Perturbation Prediction Models
Hongxu Zhu, Amir Asiaee, Leila Azinfar…·James Patrick Long
This study introduces AUC-PR as a better metric for evaluating in silico perturbation models' ability to predict differentially expressed genes, showing it outperforms R2 in capturing biologically relevant outcomes.