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Showing 1 - 20 results of 147 for search '(( gene based generation optimization algorithm ) OR ( binary based arm optimization algorithm ))', query time: 0.46s Refine Results
  1. 1
    [Na<sup>+</sup>]i and [Ca<sup>2+</sup>]<sub>nsr</sub> distance from steady state values dependence on number of beats per generation.

    [Na<sup>+</sup>]i and [Ca<sup>2+</sup>]<sub>nsr</sub> distance from steady state values dependence on number of beats per generation. by Dmitrii Smirnov (8822324)

    Published 2020
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  2. 2
    Genetic Algorithm (GA) and CAGE-based personalization block diagrams.

    Genetic Algorithm (GA) and CAGE-based personalization block diagrams. by Dmitrii Smirnov (8822324)

    Published 2020
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  3. 3
    Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level

    Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level by Giovanni Nattino (561797)

    Published 2021
    “…We fill the gap by developing an iterative matching algorithm for the three-group setting. Our algorithm outperforms the nearest neighbor algorithm and is shown to produce matched samples with total distance no larger than twice the optimal distance. …”
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  4. 4
    Comparison of presented algorithm precision to Bot et al.

    Comparison of presented algorithm precision to Bot et al. by Dmitrii Smirnov (8822324)

    Published 2020
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  5. 5
    GeneScan profiles of human peripheral blood samples.

    GeneScan profiles of human peripheral blood samples. by Nika Abdollahi (4966120)

    Published 2022
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  6. 6
    Optimal ALARM BN discovered by CausNet.

    Optimal ALARM BN discovered by CausNet. by Nand Sharma (21519845)

    Published 2025
    “…This ‘generational orderings’ based dynamic programming algorithm—CausNet—efficiently searches the space of possible Bayesian networks. …”
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  7. 7
    Table 1_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.pdf

    Table 1_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.pdf by Valentina Di Salvatore (6296114)

    Published 2025
    “…We generated biologically informed, synthetic RNA-seq datasets to emulate gene expression profiles in immune-related tissues post-vaccination. …”
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  8. 8
    Presentation 1_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.pdf

    Presentation 1_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.pdf by Valentina Di Salvatore (6296114)

    Published 2025
    “…We generated biologically informed, synthetic RNA-seq datasets to emulate gene expression profiles in immune-related tissues post-vaccination. …”
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  9. 9
    Table 2_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.pdf

    Table 2_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.pdf by Valentina Di Salvatore (6296114)

    Published 2025
    “…We generated biologically informed, synthetic RNA-seq datasets to emulate gene expression profiles in immune-related tissues post-vaccination. …”
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  10. 10
    Image 1_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.png

    Image 1_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.png by Valentina Di Salvatore (6296114)

    Published 2025
    “…We generated biologically informed, synthetic RNA-seq datasets to emulate gene expression profiles in immune-related tissues post-vaccination. …”
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  11. 11
    Image 2_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.png

    Image 2_A computational framework for optimizing mRNA vaccine delivery via AI-guided nanoparticle design and in silico gene expression profiling.png by Valentina Di Salvatore (6296114)

    Published 2025
    “…We generated biologically informed, synthetic RNA-seq datasets to emulate gene expression profiles in immune-related tissues post-vaccination. …”
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  12. 12
    The pseudocode related to the process of initial harmony generation, with considering SNP locus data.

    The pseudocode related to the process of initial harmony generation, with considering SNP locus data. by Fariba Esmaeili (532865)

    Published 2023
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  13. 13
    IGHV/J gene usage distribution of the AMR1 repertoire compared to the polyclonal background.

    IGHV/J gene usage distribution of the AMR1 repertoire compared to the polyclonal background. by Nika Abdollahi (4966120)

    Published 2022
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  14. 14
    IGHV/J gene usage distribution of the AMR2 repertoire compared to the polyclonal background.

    IGHV/J gene usage distribution of the AMR2 repertoire compared to the polyclonal background. by Nika Abdollahi (4966120)

    Published 2022
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  15. 15
    IGHV/J gene usage distribution of the AMR3 repertoire compared to the polyclonal background.

    IGHV/J gene usage distribution of the AMR3 repertoire compared to the polyclonal background. by Nika Abdollahi (4966120)

    Published 2022
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  16. 16
    Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures

    Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures by Dibyajyoti Das (14845321)

    Published 2023
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  17. 17
    Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures

    Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures by Dibyajyoti Das (14845321)

    Published 2023
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  18. 18
    Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures

    Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures by Dibyajyoti Das (14845321)

    Published 2023
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  19. 19
    Polynomial and Cauchy mutations with different distribution parameters.

    Polynomial and Cauchy mutations with different distribution parameters. by Dmitrii Smirnov (8822324)

    Published 2020
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  20. 20
    Clusters characteristics: Mean Cluster Error (MCE) and Standard Distance (SDist).

    Clusters characteristics: Mean Cluster Error (MCE) and Standard Distance (SDist). by Dmitrii Smirnov (8822324)

    Published 2020
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