HLA-C and neoplasm: (108) developed TruNeo, an integrated computational pipeline based on the deep learning model combined with scoring system, by taking into account the six main features that affect the prediction of neoantigens: peptide-MHC binding affinity, proteasome cleavage, antigen transporter transport efficiency, expression abundance, tumor heterogeneity, clonality and HLA LOH (loss of heterozygosity).