Author

T. A. Knijnenburg

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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Cell Biology· 2 Cancer Biology· 1

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Research Focus:cell type annotation· 3 Organism:human· 2 Assay:imaging· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:microscopy & imaging analysis· 1 Approach:statistical model· 1

Frequent Co-Authors

C. Yan· 2 shared A. Borensztejn· 1 shared A. Haupt· 1 shared A. N. Leonard· 1 shared A. O. Manughian-Peter· 1 shared A. R. Horwitz· 1 shared B. Berry· 1 shared B. Chaudhuri· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersCell Biology

C. Yan

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Author profile →

3 papers

Recent·Most cited

A deep generative model of 3D single-cell organization

R. Donovan-Maiye, J. Brown, C. Chan, L. Ding, C. Yan, N. Gaudreault, J. Theriot, M. Maleckar, T. A. Knijnenburg, G. Johnson

The paper introduces a deep generative model to integrate 3D single-cell fluorescent image data of subcellular structures, enabling structure imputation and quantification of spatial variation.

bioRxiv · Jun 9, 2021Cell Biology

Robust integrated intracellular organization of the human iPS cell: where, how much, and how variable

M. P. Viana, J. Chen, T. A. Knijnenburg, R. Vasan, C. Yan, J. E. Arakaki, M. Bailey, B. Berry, A. Borensztejn, J. M. Brown, S. Carlson, J. A. Cass, B. Chaudhuri, K. R. Cordes Metzler, M. E. Coston, , Leung

The paper establishes quantitative rules for the locations, amounts, and variation of 25 cellular structures in human iPSCs using high-resolution imaging and analysis.

bioRxiv · Dec 8, 2020 · PreprintCell Biology

Epigenetic Profiling for the Molecular Classification of Metastatic Brain Tumors

J. I. J. Orozco, T. A. Knijnenburg, A. O. Manughian-Peter, M. P. Salomon, G. Barkhoudarian, J. R. Jalas, J. S. Wilmott, P. Hothi, X. Wang, Y. Takasumi, M. E. Buckland, J. F. Thompson, G. V. Long, C. S. Cobbs, I. Shmulevich, , D. M. Marzese

This study develops a DNA methylation-based classifier, BrainMETH, to categorize brain metastases by tissue origin and therapeutic subtypes using epigenetic profiling.

bioRxiv · Feb 22, 2018Cancer Biology