BioinformaticsbioRxivPreprint
Predicting Cell-Penetrating Peptides: Building and Interpreting Random Forest based prediction Models
Shilpa Yadahalli, Chandra Shekhar Verma
The paper builds and interprets Random Forest models to predict Cell-Penetrating Peptides (CPPs) using amino acid sequence features, achieving ~96% accuracy and providing insights into key predictive features.