Author

T. Keenan

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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Bioengineering· 1 Cancer Biology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

A. Cheung· 1 shared A. Cotoia· 1 shared A. Imamovic· 1 shared A. Patel· 1 shared A. Pearson· 1 shared B. Bhavanam· 1 shared B. Reardon· 1 shared D. A. S. Pabst· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperCancer Biology

A. Cheung

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Author profile →

3 papers

Recent·Most cited

Integrating Shear Flow and Trypsin Treatment to Assess Cell Adhesion Strength

A. Patel, B. Bhavanam, T. Keenan, V. Maruthamuthu

This paper introduces a shear flow assay with trypsin treatment to assess cell adhesion strength, showing that shear stress between 0.07 and 7 Pa can dislodge strongly adherent cells.

bioRxiv · Sep 26, 2023Bioengineering

Distribution of carbon monoxide (CO) in several tissues from Atlantic bottlenose dolphins (Tursiops truncatus)

M. S. Tift, K. Litzenberg, K. Herrmann, A. Cotoia, O. Jackson, T. Keenan, K. Kezar, A. Pearson, W. McLellan, D. A. S. Pabst

This study measures carbon monoxide concentrations in nine tissues of stranded Atlantic bottlenose dolphins, finding higher levels in liver, skeletal muscle, and spleen, and lower levels in infected animals.

bioRxiv · Jul 28, 2023 · PreprintPhysiology

Clinical interpretation of integrative molecular profiles to guide precision cancer medicine

B. Reardon, N. D. Moore, N. Moore, E. Kofman, S. Aldubayan, A. Cheung, J. Conway, H. Elmarakeby, A. Imamovic, S. C. Kamran, T. Keenan, D. Keliher, D. J. Konieczkowski, D. Liu, K. Mouw, , E. M. Van Allen

This paper introduces MOAlmanac, a clinical interpretation algorithm that integrates genomic and transcriptional data to improve precision cancer treatment decisions by considering second-order molecular features.

bioRxiv · Sep 22, 2020Cancer Biology