Author

J. Virostko

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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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Approach:experimental assay· 1

Frequent Co-Authors

J. Yang· 2 shared T. Yankeelov· 2 shared A. Brock· 1 shared C. M. Phillips· 1 shared D. A. Hormuth· 1 shared D. Faghihi· 1 shared E. A. B. F. Lima· 1 shared J. Kowalski· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersCancer Biology

J. Yang

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2 papers

Recent·Most cited

Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth

E. A. B. F. Lima, D. Faghihi, R. Philley, J. Yang, J. Virostko, C. M. Phillips, T. Yankeelov

The paper develops a Bayesian-calibrated multiscale agent-based model to predict tumor growth using microscopy data, achieving reliable predictions with low error and standard deviation.

bioRxiv · Mar 3, 2021Cancer Biology

An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines

J. Yang, J. Virostko, D. A. Hormuth, J. Liu, A. Brock, J. Kowalski, T. Yankeelov

The paper develops and validates a mathematical model to predict tumor cell growth based on glucose availability in breast cancer cell lines using experimental data.

bioRxiv · Oct 5, 2020Cancer Biology