Author

D. Tallman

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· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

A. Chakravarti· 1 shared A. E. Torres· 1 shared B. R. Stromberg· 1 shared B. Ramaswamy· 1 shared C. Sears· 1 shared D. G. Stover· 1 shared E. Adams· 1 shared E. P. Winer· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperCell Biology

A. Chakravarti

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2 papers

Recent·Most cited

MKLP2 functions in early mitosis to ensure proper chromosome congression

M. S. Schrock, L. Scarberry, B. R. Stromberg, C. Sears, A. E. Torres, D. Tallman, L. Krupinski, A. Chakravarti, M. K. Summers

This study shows MKLP2 is essential for chromosome congression in prometaphase, as its inhibition leads to unstable kinetochore-microtubule attachments and aneuploidy.

bioRxiv · Sep 12, 2021Cell Biology

Machine learning predicts rapid relapse of triple negative breast cancer

Y. Zhang, W. Nock, M. Wyse, Z. Weber, E. Adams, S. Stockard, D. Tallman, S. Asad, E. P. Winer, N. U. Lin, M. Cherian, M. Lustberg, B. Ramaswamy, S. Sardesai, J. Vandeusen, , D. G. Stover

The paper uses machine learning to predict rapid relapse of triple-negative breast cancer based on clinical and genomic features.

bioRxiv · Apr 21, 2019Cancer Biology