Supplementary Material for Computationally efficient framework for diagnosing, understanding, and predicting biphasic population growth

Murphy, Ryan J.; Maclaren, Oliver J.; Calabrese, Alivia R.; Thomas, Patrick B.; Warne, David J.; Williams, Elizabeth D.; Simpson, Matthew J.

doi:10.6084/m9.figshare.21617655.v1

rsif20220560_si_001.pdf (6.45 MB)

Supplementary Material for Computationally efficient framework for diagnosing, understanding, and predicting biphasic population growth

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posted on 2022-11-24, 10:07 authored by Ryan J. Murphy, Oliver J. Maclaren, Alivia R. Calabrese, Patrick B. Thomas, David J. Warne, Elizabeth D. Williams, Matthew J. Simpson

Synthetic data results. Additional results for coral reef, cell proliferation assay, and spheroid case studies. Results for fourth case study, a proliferation assay with a bladder cancer cell line. Image processing details.

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identifiability analysis profile likelihood population dynamics uncertainty quantification

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Supplementary Material for Computationally efficient framework for diagnosing, understanding, and predicting biphasic population growth

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