Author

R. Kirchgaessner

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Cancer Biology· 1

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Approach:deep learning· 1 Organism:human· 1 Research Focus:imputation· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Assay:spatial transcriptomics· 1

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A. L. Creason· 1 shared C. Watson· 1 shared J. Goecks· 1 shared K. Keutler· 1 shared

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2023-2023 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperCancer Biology

A. L. Creason

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1 paper

Recent·Most cited

Cancer BiologybioRxivDec 5, 2023

Imputing Single-Cell Protein Abundance in Multiplex Tissue Imaging

R. Kirchgaessner, C. Watson, A. L. Creason…·J. Goecks

This paper imputes single-cell protein abundance in multiplex tissue imaging data from a breast cancer cohort using machine learning, showing improved accuracy and biological relevance.

DOI 10.1038/s41467-025-59788-x

humanspatial transcriptomics

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