Author

M. Bonsack

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. B. Riemer· 2 shared A. Ahadova· 1 shared A. Ballhausen· 1 shared A. Benner· 1 shared A. Omdahl· 1 shared A. Riemer· 1 shared A. Rubinsteyn· 1 shared B. Kaminow· 1 shared

Activity by Year

2017-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersImmunology

A. B. Riemer

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Author profile →

3 papers

Recent·Most cited

High-throughput prediction of MHC Class I and Class II neoantigens with MHCnuggets

X. M. Shao, R. Bhattacharya, J. Huang, I. K. A. Sivakumar, C. Tokheim, L. Zheng, D. HIrsch, B. Kaminow, A. Omdahl, M. Bonsack, A. B. Riemer, V. Velculescu, V. Anagnostou, K. Pagel, R. Karchin

The paper introduces MHCnuggets, a deep learning method for predicting MHC class I and II neoantigen binding, showing improved performance and scalability across 26 cancer types.

bioRxiv · Oct 4, 2019Immunology

The shared neoantigen landscape of MSI cancers reflects immunoediting during tumor evolution

A. Ballhausen, M. J. Przybilla, M. Jendrusch, S. Haupt, E. Pfaffendorf, M. Draxlbauer, F. Seidler, S. Krausert, A. Ahadova, M. S. Kalteis, D. Heid, J. Gebert, M. Bonsack, S. Schott, H. Bläker, , M. Kloor

The study identifies shared immunogenic neoantigens in MSI cancers and finds a negative correlation between indel mutation frequency and neoantigen immunogenicity, suggesting immunoediting during tumor evolution.

bioRxiv · Jul 16, 2019Cancer Biology

MHCflurry: open-source class I MHC binding affinity prediction

T. O'Donnell, A. Rubinsteyn, M. Bonsack, A. Riemer, J. Hammerbacher

MHCflurry is an open-source tool for predicting MHC I binding affinity, outperforming existing methods and offering faster performance.

bioRxiv · Aug 9, 2017Immunology