Author

K. Wackman

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

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

A. Lemke· 1 shared A. R. Peck· 1 shared B. Riley-Gillis· 1 shared E. King· 1 shared H. Rui· 1 shared J. Reeb· 1 shared M. J. Flister· 1 shared S. Wollenhaupt· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

A. Lemke

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1 paper

Recent·Most cited

Machine Learning Reveals Genetic Modifiers of the Immune Microenvironment of Cancer

B. Riley-Gillis, S.-W. Tsaih, E. King, S. Wollenhaupt, J. Reeb, A. R. Peck, K. Wackman, A. Lemke, H. Rui, Z. Dezso, M. J. Flister

This paper uses machine learning to identify genetic modifiers of the immune microenvironment in breast cancer, prioritizing LSP1 and TLR1 as potential therapeutic targets.

iScience · Sep 1, 2023Peer-reviewedCancer Biology