Author

M. D. Kessler

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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Cancer Biology· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

E. J. Fertig· 2 shared L. Danilova· 2 shared N. Zaidi· 2 shared A. A. Fitzgerald· 1 shared A. Al-Hendy· 1 shared A. Balan· 1 shared A. Jackson· 1 shared A. R. Soltis· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersCancer Biology

E. J. Fertig

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Author profile →

3 papers

Recent·Most cited

SpliceMutr enables pan-cancer analysis of splicing-derived neoantigen burden in tumors

T. Palmer, M. D. Kessler, X. M. Shao, A. Balan, M. Yarchoan, N. Zaidi, T. Y. Lopez-Vidal, A. Saeed, J. Gore, N. Azad, E. Jaffee, A. V. Favorov, V. Anagnostou, R. Karchin, D. Gaykalova, , E. J. Fertig

SpliceMutr quantifies splicing-derived neoantigens across cancers, finding correlations with immune biomarkers and treatment response.

bioRxiv · May 26, 2023Cancer Biology

Peptide Ancestry Informative Markers in Uterine Neoplasms from Women of European, African and Asian Ancestry

N. W. Bateman, C. M. Tarney, T. S. Abulez, B. L. Hood, K. A. Conrads, M. Zhou, A. R. Soltis, P.-i. Teng, A. Jackson, C. Tian, C. L. Dalgard, M. D. Wilkerson, M. D. Kessler, Z. C. Goecker, J. Loffredo, , T. D. O'Connor

The paper identifies peptide ancestry informative markers (pAIMs) that correlate with ancestry in uterine neoplasms, showing they can accurately determine ancestry proportions with high precision.

bioRxiv · Nov 23, 2020Cancer Biology

Transfer learning between preclinical models and human tumors identifies conserved NK cell activation signature in anti-CTLA-4 responsive tumors

E. F. Davis-Marcisak, A. A. Fitzgerald, M. D. Kessler, L. Danilova, E. M. Jaffee, N. Zaidi, L. M. Weiner, E. J. Fertig

The paper uses transfer learning to identify a conserved NK cell activation signature in anti-CTLA-4 responsive tumors across preclinical models and humans, showing its clinical relevance.

bioRxiv · May 31, 2020 · PreprintCancer Biology