Author

E. M. Cherry

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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Biophysics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Assay:electrophysiology· 1 Organism:human· 1

Frequent Co-Authors

A. Shah· 1 shared C. A. Lemmon· 1 shared F. H. Fenton· 1 shared F. M. Merchant· 1 shared I. Uzelac· 1 shared J. D. Vega· 1 shared M. A. Burke· 1 shared M. A. Daneshmand· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBiophysics

A. Shah

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2 papers

Recent·Most cited

Beyond Alternans: Detection of Higher-Order Periodicity in Ex-Vivo Human Ventricles Before Induction of Ventricular Fibrillation

S. Iravanian, I. Uzelac, A. Shah, M. J. Toye, M. Lloyd, M. A. Burke, M. A. Daneshmand, T. S. Attia, J. D. Vega, F. M. Merchant, E. M. Cherry, N. K. Bhatia, F. H. Fenton

The paper detects higher-order periodicities (period-4, 5, 6, 8) in ex-vivo human ventricles before ventricular fibrillation induction using optical mapping and computational analysis.

bioRxiv · May 1, 2023 · PreprintBiophysics

Cell fate forecasting: a data assimilation approach to predict epithelial-mesenchymal transition

M. J. Mendez, M. J. Hoffman, E. M. Cherry, C. A. Lemmon, S. H. Weinberg

This paper demonstrates a data assimilation approach using an ensemble Kalman filter to predict epithelial-mesenchymal transition (EMT) state transitions by integrating noisy observations with a computational model of TGFβ-induced EMT.

bioRxiv · Jun 12, 2019Cell Biology