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Showing 41 - 60 results of 240 for search '(("program improvements") OR ((("program implementingimproving") OR ("model implementing"))))', query time: 0.46s Refine Results
  1. 41
    Illustration of edge artefact in VT simulations on growing domains.

    Illustration of edge artefact in VT simulations on growing domains. by James M. Osborne (163443)

    Published 2017
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  2. 42
    Comparison of spatio-temporal morphogen and tissue shape dynamics across simulations.

    Comparison of spatio-temporal morphogen and tissue shape dynamics across simulations. by James M. Osborne (163443)

    Published 2017
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  3. 43
    Approximate simulation times.

    Approximate simulation times. by James M. Osborne (163443)

    Published 2017
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  4. 44
    Table of parameters used in the models across case studies.

    Table of parameters used in the models across case studies. by James M. Osborne (163443)

    Published 2017
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  5. 45
    Table of parameters specific to the differential adhesion simulations.

    Table of parameters specific to the differential adhesion simulations. by James M. Osborne (163443)

    Published 2017
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  6. 46
    Index Models for Sparsely Sampled Functional Data

    Index Models for Sparsely Sampled Functional Data by Peter Radchenko (765235)

    Published 2015
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  7. 47
    PyRates benchmarks.

    PyRates benchmarks. by Richard Gast (8129451)

    Published 2019
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  8. 48
    Schematic of software layers.

    Schematic of software layers. by Richard Gast (8129451)

    Published 2019
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  9. 49
    Jansen-Rit and Montbrió model validations.

    Jansen-Rit and Montbrió model validations. by Richard Gast (8129451)

    Published 2019
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  10. 50
    PyRates—A Python framework for rate-based neural simulations

    PyRates—A Python framework for rate-based neural simulations by Richard Gast (8129451)

    Published 2019
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  11. 51
    Model structure in PyRates.

    Model structure in PyRates. by Richard Gast (8129451)

    Published 2019
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  12. 52
    A two state Markov model with state-dependent fates (Model M3) quantitatively explains the experimentally measured decay rate and correlations in lineage related HCT116 cells.

    A two state Markov model with state-dependent fates (Model M3) quantitatively explains the experimentally measured decay rate and correlations in lineage related HCT116 cells. by Anton Iyer (22278981)

    Published 2025
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  13. 53
    A summary of the HCT116 dataset.

    A summary of the HCT116 dataset. by Anton Iyer (22278981)

    Published 2025
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  14. 54
    An age-structured model accurately predicts population growth rates from single-cell IMT distributions.

    An age-structured model accurately predicts population growth rates from single-cell IMT distributions. by Anton Iyer (22278981)

    Published 2025
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  15. 55
    Pre-cisplatin heterogeneity in inter-mitotic times arises from a single population of cycling cells.

    Pre-cisplatin heterogeneity in inter-mitotic times arises from a single population of cycling cells. by Anton Iyer (22278981)

    Published 2025
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  16. 56
    An age structured model (Euler-Lotka equation) accurately predicts population growth rates of both HCT116 and U2OS cells before cisplatin treatment.

    An age structured model (Euler-Lotka equation) accurately predicts population growth rates of both HCT116 and U2OS cells before cisplatin treatment. by Anton Iyer (22278981)

    Published 2025
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  17. 57
    Inferring the underlying post-drug IMT and AT distributions from the experimentally measured, biased distributions.

    Inferring the underlying post-drug IMT and AT distributions from the experimentally measured, biased distributions. by Anton Iyer (22278981)

    Published 2025
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  18. 58
    Schematics of models M0 to M3, highlighting the differences in timing and mode of cell fate determination of each model.

    Schematics of models M0 to M3, highlighting the differences in timing and mode of cell fate determination of each model. by Anton Iyer (22278981)

    Published 2025
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  19. 59
    Maintenance of barcode diversity before and after drug cannot be interpreted as a signature of drug-induced cell fates.

    Maintenance of barcode diversity before and after drug cannot be interpreted as a signature of drug-induced cell fates. by Anton Iyer (22278981)

    Published 2025
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  20. 60
    A summary of the U2OS dataset.

    A summary of the U2OS dataset. by Anton Iyer (22278981)

    Published 2025
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