Author

C. J. Penington

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· 2

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1

Frequent Co-Authors

M. J. Simpson· 2 shared S. W. McCue· 2 shared W. Jin· 2 shared E. T. Shah· 1 shared P. K. Maini· 1 shared

Activity by Year

2017-2017 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBiophysics

M. J. Simpson

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2 papers

Recent·Most cited

BiophysicsbioRxivJul 9, 2017

A computational modelling framework to quantify the effects of passaging cell lines

W. Jin, C. J. Penington, S. W. McCue, M. J. Simpson

This study uses computational modeling to show that passage number affects cell proliferation rates and scratch assay closure rates, highlighting the need to report passage numbers for reproducibility.

DOI 10.1371/journal.pone.0181941

deep learningstatistical model

𝕏 PostBluesky

BiophysicsBulletin of Mathematical BiologyPeer-reviewedMar 23, 2017

Logistic proliferation of cells in scratch assays is delayed

W. Jin, E. T. Shah, C. J. Penington…·M. J. Simpson

This study shows that logistic growth models misrepresent cell proliferation in scratch assays due to a disturbance phase, and that distinguishing between phases improves parameter estimates.

DOI 10.1007/s11538-017-0267-4

humanbulk RNA-seq

𝕏 PostBluesky