Author

T. S. Maughon

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· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:metabolomics· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

S. L. Stice· 2 shared X. Shen· 2 shared A. M. Larey· 1 shared A. O. A. Michael· 1 shared A. S. Edison· 1 shared A. Van Grouw· 1 shared B.-W. C. Annie· 1 shared D. Huang· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioengineering

S. L. Stice

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Author profile →

2 papers

Recent·Most cited

Development of a Robust Consensus Modeling Approach for Identifying Cellular and Media Metabolites Predictive of Mesenchymal Stromal Cell Potency

A. Van Grouw, M. B. Colonna, T. S. Maughon, X. Shen, A. M. Larey, S. G. Moore, Y. Carolyn, F. M. Facundo, E. S. Arthur, S. L. Stice, B.-W. C. Annie, M. A. Ross

The paper develops a consensus machine learning approach to identify metabolites predictive of mesenchymal stromal cell immunomodulatory function across multiple lines.

bioRxiv · Feb 3, 2023Bioengineering

Multi-omics characterization of mesenchymal stem/stromal cells for the identification of putative critical quality attributes

T. S. Maughon, X. Shen, D. Huang, A. O. A. Michael, W. A. Shockey, S. H. Andrews, J. M. McRae, M. O. Platt, F. M. Fernandez, A. S. Edison, S. L. Stice, R. A. Marklein

This paper identifies putative critical quality attributes (CQAs) for mesenchymal stem/stromal cells (MSCs) using multi-omics data and PLSR modeling to predict functional capacity.

bioRxiv · May 10, 2021 · PreprintBioengineering