بدائل البحث:
complement complex » complement component (توسيع البحث), complement components (توسيع البحث)
complex algorithm » component algorithm (توسيع البحث), kepler algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
g algorithm » _ algorithm (توسيع البحث), b algorithm (توسيع البحث), gnb algorithm (توسيع البحث)
element g » element _ (توسيع البحث), elements _ (توسيع البحث)
complement complex » complement component (توسيع البحث), complement components (توسيع البحث)
complex algorithm » component algorithm (توسيع البحث), kepler algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
g algorithm » _ algorithm (توسيع البحث), b algorithm (توسيع البحث), gnb algorithm (توسيع البحث)
element g » element _ (توسيع البحث), elements _ (توسيع البحث)
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581
<b>Leveraging protected areas for dual goals of biodiversity conservation and zoonotic</b> <b>risk reduction</b>
منشور في 2025"…</p><p dir="ltr">Algorithms: Core Area Zonation (CAZ) and Additive Benefit Function (ABF).…"
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582
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
منشور في 2025"…</p><p dir="ltr">Surface area (m²/g): Affects the reactivity and potential for cellular interaction.…"
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583
<b>dGenhancer v2</b>: A software tool for designing oligonucleotides that can trigger gene-specific Enhancement of Protein Translation.
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. …"
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584
Table 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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). …"
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585
Table 2_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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). …"
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586
Table 9_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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). …"
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587
Table 5_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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). …"
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588
Table 7_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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). …"
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589
Table 6_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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). …"
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590
Table 10_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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). …"
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591
Table 3_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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). …"
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592
Table 4_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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). …"
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593
Table 11_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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). …"
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594
Table 8_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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). …"
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595
Data Sheet 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.docx
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). …"
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596
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597
Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4
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. …"