Search alternatives:
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
work optimization » wolf optimization (Expand Search), swarm optimization (Expand Search), dose optimization (Expand Search)
image driven » climate driven (Expand Search), wave driven (Expand Search), mapk driven (Expand Search)
genes based » gene based (Expand Search), lens based (Expand Search)
based work » based network (Expand Search)
Showing 1 - 20 results of 112 for search '(( binary image driven optimization algorithm ) OR ( genes based work optimization algorithm ))', query time: 0.76s Refine Results
  1. 1
    Optimal ALARM BN discovered by CausNet.

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

    Published 2025
    Subjects:
    Save to List
    Saved in:
  2. 2
    Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.

    Optimal ovarian cancer BNs learned by CausNet and CausNet-partial. by Nand Sharma (21519845)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  3. 3
    Algorithm 2: Maintain inhibitory densities coherence.

    Algorithm 2: Maintain inhibitory densities coherence. by Dimitri Rodarie (10148838)

    Published 2022
    Save to List
    Saved in:
  4. 4
    Algorithm 1: Cap inhibitory densities to number of neurons.

    Algorithm 1: Cap inhibitory densities to number of neurons. by Dimitri Rodarie (10148838)

    Published 2022
    Save to List
    Saved in:
  5. 5
    List of ageing-associated genes (STRING identifier and corresponding gene symbol) within imputed genes based on the JenAge Ageing Factor Database for each tissue (brain and liver) and each layer (mRNA and protein) in Ori <i>et al</i>. [13] dataset.

    List of ageing-associated genes (STRING identifier and corresponding gene symbol) within imputed genes based on the JenAge Ageing Factor Database for each tissue (brain and liver)... by Konstantina Charmpi (9901053)

    Published 2021
    Save to List
    Saved in:
  6. 6
    Network propagation identifies ageing-associated genes as well as genes distinguishing prostate tumors of different grades.

    Network propagation identifies ageing-associated genes as well as genes distinguishing prostate tumors of different grades. by Konstantina Charmpi (9901053)

    Published 2021
    Save to List
    Saved in:
  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
    “…<p>Recent concerns about off-target immune activation following non-targeted mRNA vaccine delivery have prompted the need for rational design strategies that optimize nanoparticle formulations. Building upon our previous in silico work using the Universal Immune System Simulator to characterize immune responses to mRNA vaccines, we present a computational framework that integrates synthetic transcriptomics with artificial intelligence-driven optimization to guide the development of safer and more targeted lipid nanoparticles. …”
    Save to List
    Saved in:
  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
    “…<p>Recent concerns about off-target immune activation following non-targeted mRNA vaccine delivery have prompted the need for rational design strategies that optimize nanoparticle formulations. Building upon our previous in silico work using the Universal Immune System Simulator to characterize immune responses to mRNA vaccines, we present a computational framework that integrates synthetic transcriptomics with artificial intelligence-driven optimization to guide the development of safer and more targeted lipid nanoparticles. …”
    Save to List
    Saved in:
  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
    “…<p>Recent concerns about off-target immune activation following non-targeted mRNA vaccine delivery have prompted the need for rational design strategies that optimize nanoparticle formulations. Building upon our previous in silico work using the Universal Immune System Simulator to characterize immune responses to mRNA vaccines, we present a computational framework that integrates synthetic transcriptomics with artificial intelligence-driven optimization to guide the development of safer and more targeted lipid nanoparticles. …”
    Save to List
    Saved in:
  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
    “…<p>Recent concerns about off-target immune activation following non-targeted mRNA vaccine delivery have prompted the need for rational design strategies that optimize nanoparticle formulations. Building upon our previous in silico work using the Universal Immune System Simulator to characterize immune responses to mRNA vaccines, we present a computational framework that integrates synthetic transcriptomics with artificial intelligence-driven optimization to guide the development of safer and more targeted lipid nanoparticles. …”
    Save to List
    Saved in:
  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
    “…<p>Recent concerns about off-target immune activation following non-targeted mRNA vaccine delivery have prompted the need for rational design strategies that optimize nanoparticle formulations. Building upon our previous in silico work using the Universal Immune System Simulator to characterize immune responses to mRNA vaccines, we present a computational framework that integrates synthetic transcriptomics with artificial intelligence-driven optimization to guide the development of safer and more targeted lipid nanoparticles. …”
    Save to List
    Saved in:
  12. 12
    Average FDR with and .

    Average FDR with and . by Nand Sharma (21519845)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  13. 13
    FDR and Runtime for ALARM.

    FDR and Runtime for ALARM. by Nand Sharma (21519845)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 14
    FDR ().

    FDR (). by Nand Sharma (21519845)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 15
    FDR ().

    FDR (). by Nand Sharma (21519845)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  16. 16
    ALARM networks with different partial orderings.

    ALARM networks with different partial orderings. by Nand Sharma (21519845)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  17. 17
    Average Runtime in seconds.

    Average Runtime in seconds. by Nand Sharma (21519845)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  18. 18
    Average Hamming Distance with and .

    Average Hamming Distance with and . by Nand Sharma (21519845)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  19. 19
    Average FDR with and .

    Average FDR with and . by Nand Sharma (21519845)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  20. 20
    Subset lattice for partial orderings with on four nodes .

    Subset lattice for partial orderings with on four nodes . by Nand Sharma (21519845)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: