AutoPeptideML: a study on how to build more trustworthy peptide bioactivity predictors
Published in Bioinformatics, 2024
Abstract
This paper discusses the design of an AutoML tool for building peptide bioactivity predictors and how to ensure their robust evaluation through homology partitioning.