يعرض 581 - 597 نتائج من 597 نتيجة بحث عن '(((( complement complex algorithm ) OR ( element g algorithm ))) OR ( neural coding algorithm ))', وقت الاستعلام: 0.57s تنقيح النتائج
  1. 581

    <b>Leveraging protected areas for dual goals of biodiversity conservation and zoonotic</b> <b>risk reduction</b> حسب Li Yang (13558573)

    منشور في 2025
    "…</p><p dir="ltr">Algorithms: Core Area Zonation (CAZ) and Additive Benefit Function (ABF).…"
  2. 582

    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

    منشور في 2025
    "…</p><p dir="ltr">Surface area (m²/g): Affects the reactivity and potential for cellular interaction.…"
  3. 583

    <b>dGenhancer v2</b>: A software tool for designing oligonucleotides that can trigger gene-specific Enhancement of Protein Translation. حسب Adam Master (20316450)

    منشور في 2024
    "…ΔGs are input data for final dGenhancer calculations as shown by Master A et al 2016<sup>1</sup></p><p dir="ltr"> The algorithms of the calculator were constructed to visualize ΔG changes after <i>in silico</i> introduced single nucleotide substitutions (SNPs) of the 5’UTR sequences. …"
  4. 584

    Table 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). …"
  5. 585

    Table 2_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). …"
  6. 586

    Table 9_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). …"
  7. 587

    Table 5_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). …"
  8. 588

    Table 7_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). …"
  9. 589

    Table 6_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). …"
  10. 590

    Table 10_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). …"
  11. 591

    Table 3_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). …"
  12. 592

    Table 4_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). …"
  13. 593

    Table 11_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). …"
  14. 594

    Table 8_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). …"
  15. 595

    Data Sheet 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.docx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…For noncoding SNP integration, we found a key trade-off between statistical power and confidence with positional (e.g. MAGMA) and non-positional approaches (e.g. chromatin-interaction, eQTL). …"
  16. 596
  17. 597

    Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4 حسب Berith Atemoztli De la Cruz Sánchez (21758708)

    منشور في 2025
    "…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …"