Ngoc Hieu Tran

This paper introduces ProTCR, a reinforcement learning method for predicting TCR-pMHC binding, achieving higher accuracy than existing methods on benchmark datasets.

NovoBoard evaluates de novo peptide sequencing methods using benchmark datasets and FDR estimation to assess accuracy and significance of peptide-spectrum matches.

This study introduces DeepNovo Peptidome and DeepSelf for neoantigen discovery and validation using immunopeptidomics and deep learning, demonstrating their application in cervical cancer tissues.

This study identifies 85 recessive diseases in the Vietnamese population through exome sequencing, highlighting three highly prevalent conditions and discovering novel pathogenic variants.

The paper introduces a personalized deep learning workflow to identify neoantigens from mass spectrometry data, improving accuracy and discovery rates in melanoma patients.

This study analyzes NIPT data from 2,683 Vietnamese pregnant women to identify 8.2 million new SNPs and 24,487 disease-associated variants, highlighting the need for population-specific genetic studies.