Improved pan-specific prediction of MHC class I peptide binding using a novel receptor clustering data partitioning strategy.

Abstract excerpt

Pan-specific prediction of receptor-ligand interaction is conventionally done using machine-learning methods that integrates information about both receptor and ligand primary sequences. To achieve optimal performance using machine learning, dealing with overfitting and data redundancy is critical. Most often so-called ligand clustering methods have been used to deal with these issues in the context of...

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