AutoPeptideML: A study on how to build more trustworthy peptide bioactivity predictors
Raúl Fernández-Díaz, Rodrigo Cossio-Pérez, Clement Agoni, Hoang Thanh Lam, Vanessa López, Denis C. Shields
This paper develops AutoPeptideML, an AutoML tool for peptide bioactivity prediction, showing that automated methods can improve model trustworthiness and efficiency.
Bioinformatics · Sep 1, 2024Peer-reviewedBioinformatics