BioinformaticsbioRxivPreprint
Combining amino acid frequency and 1D convolutional neural network embeddings for the identification of protein-protein interactions using a random forest classifier
Nisa A. Sindhi, Nikhil Pawar, Jamie D. Dixson, Dana Garcia
This paper develops a hybrid feature approach combining deep learning and amino acid frequency features to improve protein-protein interaction prediction using a random forest classifier.
DOI 10.64898/2026.05.15.725340