يعرض 641 - 660 نتائج من 731 نتيجة بحث عن '(( algorithm within function ) OR ( ((algorithm python) OR (algorithms within)) function ))*', وقت الاستعلام: 0.39s تنقيح النتائج
  1. 641

    Data Sheet 1_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx حسب Wentong Li (492392)

    منشور في 2025
    "…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…"
  2. 642

    Data Sheet 5_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.csv حسب Wentong Li (492392)

    منشور في 2025
    "…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…"
  3. 643

    Supplementary file 1_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.docx حسب Wentong Li (492392)

    منشور في 2025
    "…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…"
  4. 644

    Data Sheet 2_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx حسب Wentong Li (492392)

    منشور في 2025
    "…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…"
  5. 645

    Data Sheet 3_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx حسب Wentong Li (492392)

    منشور في 2025
    "…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…"
  6. 646

    Data Sheet 4_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx حسب Wentong Li (492392)

    منشور في 2025
    "…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…"
  7. 647

    Data Sheet 1_Development of the TSR-based computational method to investigate spike and monoclonal antibody interactions.pdf حسب Tarikul I. Milon (20524622)

    منشور في 2025
    "…In some instances, a direct correlation between structures and functions was successfully established.</p>…"
  8. 648

    Supplementary file 1_Probiotic modulation of maternal gut and milk microbiota and potential implications for infant microbial development in the perinatal period.docx حسب Kian Deng Tye (14200517)

    منشور في 2025
    "…These findings highlight complex diet–microbiota–immune interactions within reproductive and lactational systems, offering insights into strategies for enhancing maternal and neonatal health resilience.…"
  9. 649

    Data Sheet 1_Unsupervised method for representation transfer from one brain to another.docx حسب Daiki Nakamura (20349885)

    منشور في 2024
    "…<p>Although the anatomical arrangement of brain regions and the functional structures within them are similar across individuals, the representation of neural information, such as recorded brain activity, varies among individuals owing to various factors. …"
  10. 650

    Data Sheet 2_Characterization of the salivary microbiome in healthy individuals under fatigue status.docx حسب Xianhui Peng (14551488)

    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. Microbial community phenotypes and potential functional pathways were predicted using BugBase and PICRUSt2, respectively.…"
  11. 651

    Table 3_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx حسب Xianhui Peng (14551488)

    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. Microbial community phenotypes and potential functional pathways were predicted using BugBase and PICRUSt2, respectively.…"
  12. 652

    Data Sheet 1_Characterization of the salivary microbiome in healthy individuals under fatigue status.docx حسب Xianhui Peng (14551488)

    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. Microbial community phenotypes and potential functional pathways were predicted using BugBase and PICRUSt2, respectively.…"
  13. 653

    Table 5_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx حسب Xianhui Peng (14551488)

    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. Microbial community phenotypes and potential functional pathways were predicted using BugBase and PICRUSt2, respectively.…"
  14. 654

    Table 4_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx حسب Xianhui Peng (14551488)

    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. Microbial community phenotypes and potential functional pathways were predicted using BugBase and PICRUSt2, respectively.…"
  15. 655

    Table 2_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx حسب Xianhui Peng (14551488)

    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. Microbial community phenotypes and potential functional pathways were predicted using BugBase and PICRUSt2, respectively.…"
  16. 656

    Table 1_Characterization of the salivary microbiome in healthy individuals under fatigue status.xlsx حسب Xianhui Peng (14551488)

    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. Microbial community phenotypes and potential functional pathways were predicted using BugBase and PICRUSt2, respectively.…"
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