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Showing 221 - 240 results of 595 for search '(("program implementing") OR ((("program implementedingededing") OR ("model implementing"))))', query time: 0.40s Refine Results
  1. 221
    3D modeling qualities of the AM multiple-template models built with optimal HDDRs and alignments.

    3D modeling qualities of the AM multiple-template models built with optimal HDDRs and alignments. by Giacomo Janson (8138517)

    Published 2019
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  2. 222
    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function of MODELLER.

    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

    Published 2019
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  3. 223
    HPV type distribution according to age groups.

    HPV type distribution according to age groups. by Monia Ardhaoui (2833628)

    Published 2016
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  4. 224
    HPV Prevalence by socio-demographic characteristics, medical history and behaviour.

    HPV Prevalence by socio-demographic characteristics, medical history and behaviour. by Monia Ardhaoui (2833628)

    Published 2016
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  5. 225
    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  6. 226
    3D modeling qualities of the AS single-template models built with optimal HDDRs and alignments.

    3D modeling qualities of the AS single-template models built with optimal HDDRs and alignments. by Giacomo Janson (8138517)

    Published 2019
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  7. 227
    Effects on 3D modeling of optimal <i>σ</i> values and DOPE.

    Effects on 3D modeling of optimal <i>σ</i> values and DOPE. by Giacomo Janson (8138517)

    Published 2019
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  8. 228
    Multivariable analysis of associated factors with HPV infection (N = 219).

    Multivariable analysis of associated factors with HPV infection (N = 219). by Monia Ardhaoui (2833628)

    Published 2016
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  9. 229
    Characteristics of the studied women in the Grand Tunis region, Tunisia.

    Characteristics of the studied women in the Grand Tunis region, Tunisia. by Monia Ardhaoui (2833628)

    Published 2016
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  10. 230
    Correlation between <i>σ</i><sub><i>MOD</i></sub> and <i>|Δd</i><sub><i>n</i></sub><i>|</i> values in the AS models.

    Correlation between <i>σ</i><sub><i>MOD</i></sub> and <i>|Δd</i><sub><i>n</i></sub><i>|</i> values in the AS models. by Giacomo Janson (8138517)

    Published 2019
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  11. 231
    PyRates benchmarks.

    PyRates benchmarks. by Richard Gast (8129451)

    Published 2019
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  12. 232
    Schematic of software layers.

    Schematic of software layers. by Richard Gast (8129451)

    Published 2019
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  13. 233
    Jansen-Rit and Montbrió model validations.

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

    Published 2019
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  14. 234
    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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  15. 235
    Model structure in PyRates.

    Model structure in PyRates. by Richard Gast (8129451)

    Published 2019
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  16. 236
    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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  17. 237
    A summary of the HCT116 dataset.

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

    Published 2025
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  18. 238
    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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  19. 239
    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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  20. 240
    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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