بدائل البحث:
complement system » component system (توسيع البحث), complex system (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
system algorithm » custom algorithm (توسيع البحث), sssgm algorithm (توسيع البحث), systematic algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
level coding » level according (توسيع البحث), level modeling (توسيع البحث), level using (توسيع البحث)
element » elements (توسيع البحث)
complement system » component system (توسيع البحث), complex system (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
system algorithm » custom algorithm (توسيع البحث), sssgm algorithm (توسيع البحث), systematic algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
level coding » level according (توسيع البحث), level modeling (توسيع البحث), level using (توسيع البحث)
element » elements (توسيع البحث)
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621
Table 6_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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622
Table 3_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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623
Table 7_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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624
Table 10_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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625
Table 2_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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626
Table 5_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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627
Table 8_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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628
Table 4_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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629
Table 1_Transcriptomic insights into the mechanism of action of telomere-related biomarkers in rheumatoid arthritis.xlsx
منشور في 2025"…Biomarkers were subsequently identified using machine learning algorithms, receiver operating characteristic analysis, and expression level comparisons between RA and control samples. …"
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630
3D Deformable cell based model.
منشور في 2025"…(<b>F</b>) Cell model algorithm, shown as pseudo code.</p>…"
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631
Field attributes and satellite data for "How vegetation recovery and fuel conditions in past fires influences fuels and future fire management in five western U.S. ecosystems": 2nd...
منشور في 2025"…<br>This data publication is a second edition, which includes some minor data corrections (basal area was calculated incorrectly for some variable-radius plots) and the addition of tree-level data. The data were also slightly reconfigured and are now available in separate files: field and satellite attributes, seedling and sapling densities, and tree-level data.…"
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632
Data Sheet 2_Characterization of the salivary microbiome in healthy individuals under fatigue status.docx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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633
Table 3_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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634
Data Sheet 1_Characterization of the salivary microbiome in healthy individuals under fatigue status.docx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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635
Table 5_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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636
Table 4_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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637
Table 2_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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638
Table 1_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx
منشور في 2025"…Bioinformatics analyses encompassed assessment of alpha and beta diversity, identification of differential taxa using Linear discriminant analysis Effect Size (LEfSe) with multi-method cross-validation, construction of microbial co-occurrence networks, and screening of fatigue-associated biomarker genera via the Boruta-SHAP algorithm. …"
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639
Turkish_native_goat_genotypes
منشور في 2025"…<i>paratuberculosis</i> (MAP), remains a notable One Health concern due to its slow clinical progression, environmental persistence, widespread circulation in ruminant systems, and ongoing interest in its possible zoonotic implications. …"
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640
CIAHS-Data.xls
منشور في 2025"…For this purpose, we employed the Natural Breaks classification method to reclassify factor values. This method identifies inherent natural grouping points within the data through the Jenks optimization algorithm, maximizing between-class differences while minimizing within-class differences37. …"