Author

Gregory A. Lizee

The University of Texas MD Anderson Cancer CenterORCID 0000-0003-4449-7461Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexandre ReubeniD· 1 shared Amanda MontoyaiD· 1 shared Anika PateliD· 1 shared Bo JiangiD· 1 shared Changsheng XingiD· 1 shared Drew C. DenigeriD· 1 shared Emane Rose AssitaiD· 1 shared Emily BontekoeiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperImmunology

Alexandre ReubenORCID

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintAug 4, 2026

HER2 mutation-derived neoantigens in NSCLC as actionable targets for TCR therapy

Amanda Montoya, Hui Nie, Peixin Jiang…·Alexandre Reuben

The paper identifies TCRs targeting HER2 mutations in NSCLC, showing they recognize mutant epitopes and maintain cytotoxic activity, offering a potential immunotherapy strategy.

DOI 10.64898/2026.07.30.741830

humanproteomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 12, 2023

An interpretable ML model to characterize patient-specific HLA-I antigen presentation

Shaoheng Liang, Xianli Jiang, Yulun Chiu…·Ken Chen

The paper introduces epiNB, an interpretable machine learning model for predicting patient-specific HLA-I antigen presentation using Mass Spectrometry data, achieving state-of-the-art accuracy with fewer parameters and no hyperparameter tuning.

1 citation

proteomicsmachine learning (classical)

𝕏 PostBluesky