Structure-Based Prediction of Autophagy Modulators: From Transcriptome Collapse to Binary Classifiers
A rigorous benchmarking study of machine learning models for autophagy prediction using LINCS L1000 and HAMDB datasets, showing why binary classifiers win over transcriptome regression.