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Showing 3,281 - 3,300 results of 3,602 for search '(( algorithm adl function ) OR ((( algorithm python function ) OR ( algorithm protein function ))))', query time: 0.32s Refine Results
  1. 3281
    Table 1_Metabolic-stem cell crosstalk in PD: NK1 cells as key mediators from a bioinformatics perspective.xlsx

    Table 1_Metabolic-stem cell crosstalk in PD: NK1 cells as key mediators from a bioinformatics perspective.xlsx by Junxin Zhao (16721864)

    Published 2025
    “…Our analytical workflow entailed: differential expression screening, functional enrichment, protein–protein interaction (PPI) network construction, and machine learning (ML) algorithms.…”
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  2. 3282
    Data Sheet 1_Metabolic-stem cell crosstalk in PD: NK1 cells as key mediators from a bioinformatics perspective.pdf

    Data Sheet 1_Metabolic-stem cell crosstalk in PD: NK1 cells as key mediators from a bioinformatics perspective.pdf by Junxin Zhao (16721864)

    Published 2025
    “…Our analytical workflow entailed: differential expression screening, functional enrichment, protein–protein interaction (PPI) network construction, and machine learning (ML) algorithms.…”
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  3. 3283
    Supplementary Material for: FCGR3A Drives Innate Immune Activation via M1 Macrophage Polarization in Pediatric IBD

    Supplementary Material for: FCGR3A Drives Innate Immune Activation via M1 Macrophage Polarization in Pediatric IBD by figshare admin karger (2628495)

    Published 2025
    “…Hub genes were determined using protein–protein interaction (PPI) networks, least absolute shrinkage and selection operator regression, and random forest algorithms. …”
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  4. 3284
    Table 5_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx

    Table 5_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx by Yubo Wang (556762)

    Published 2025
    “…The stem-cell-related biomarkers were discovered through combining functional similarity analysis, machine learning algorithms, and receiver operating characteristic (ROC) curves. …”
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  5. 3285
    Data Sheet 1_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.docx

    Data Sheet 1_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.docx by Yubo Wang (556762)

    Published 2025
    “…The stem-cell-related biomarkers were discovered through combining functional similarity analysis, machine learning algorithms, and receiver operating characteristic (ROC) curves. …”
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  6. 3286
    Table 7_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx

    Table 7_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx by Yubo Wang (556762)

    Published 2025
    “…The stem-cell-related biomarkers were discovered through combining functional similarity analysis, machine learning algorithms, and receiver operating characteristic (ROC) curves. …”
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  7. 3287
    Table 4_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx

    Table 4_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx by Yubo Wang (556762)

    Published 2025
    “…The stem-cell-related biomarkers were discovered through combining functional similarity analysis, machine learning algorithms, and receiver operating characteristic (ROC) curves. …”
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  8. 3288
    Table 1_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx

    Table 1_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx by Yubo Wang (556762)

    Published 2025
    “…The stem-cell-related biomarkers were discovered through combining functional similarity analysis, machine learning algorithms, and receiver operating characteristic (ROC) curves. …”
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  9. 3289
    Table 3_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx

    Table 3_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx by Yubo Wang (556762)

    Published 2025
    “…The stem-cell-related biomarkers were discovered through combining functional similarity analysis, machine learning algorithms, and receiver operating characteristic (ROC) curves. …”
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  10. 3290
    Table 2_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx

    Table 2_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.xlsx by Yubo Wang (556762)

    Published 2025
    “…The stem-cell-related biomarkers were discovered through combining functional similarity analysis, machine learning algorithms, and receiver operating characteristic (ROC) curves. …”
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  11. 3291
    Table 6_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.docx

    Table 6_Integrated analysis of stem cell-related genes shared between type 2 diabetes mellitus and sepsis.docx by Yubo Wang (556762)

    Published 2025
    “…The stem-cell-related biomarkers were discovered through combining functional similarity analysis, machine learning algorithms, and receiver operating characteristic (ROC) curves. …”
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  12. 3292
    Data Sheet 4_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.pdf

    Data Sheet 4_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.pdf by Binyu Wang (7375019)

    Published 2025
    “…Machine learning algorithms identified COASY, FTSJ1, and MOGS as pivotal genes. …”
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  13. 3293
    Data Sheet 5_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.zip

    Data Sheet 5_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.zip by Binyu Wang (7375019)

    Published 2025
    “…Machine learning algorithms identified COASY, FTSJ1, and MOGS as pivotal genes. …”
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  14. 3294
    Data Sheet 1_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.zip

    Data Sheet 1_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.zip by Binyu Wang (7375019)

    Published 2025
    “…Machine learning algorithms identified COASY, FTSJ1, and MOGS as pivotal genes. …”
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  15. 3295
    Data Sheet 2_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.pdf

    Data Sheet 2_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.pdf by Binyu Wang (7375019)

    Published 2025
    “…Machine learning algorithms identified COASY, FTSJ1, and MOGS as pivotal genes. …”
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  16. 3296
    Data Sheet 3_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.pdf

    Data Sheet 3_The role and machine learning analysis of mitochondrial autophagy-related gene expression in lung adenocarcinoma.pdf by Binyu Wang (7375019)

    Published 2025
    “…Machine learning algorithms identified COASY, FTSJ1, and MOGS as pivotal genes. …”
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  17. 3297
    Table1_Integrative analysis of the role of BOLA2B in human pan-cancer.DOCX

    Table1_Integrative analysis of the role of BOLA2B in human pan-cancer.DOCX by Mingxing Liang (11361621)

    Published 2023
    “…TIMER and ESTIMATE algorithms were used to assess correlations between BOLA2B and tumor-infiltrating immune cells, immune cytokines, and immune scores.…”
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  18. 3298
    Image2_Integrative analysis of the role of BOLA2B in human pan-cancer.TIF

    Image2_Integrative analysis of the role of BOLA2B in human pan-cancer.TIF by Mingxing Liang (11361621)

    Published 2023
    “…TIMER and ESTIMATE algorithms were used to assess correlations between BOLA2B and tumor-infiltrating immune cells, immune cytokines, and immune scores.…”
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  19. 3299
    Image3_Integrative analysis of the role of BOLA2B in human pan-cancer.TIF

    Image3_Integrative analysis of the role of BOLA2B in human pan-cancer.TIF by Mingxing Liang (11361621)

    Published 2023
    “…TIMER and ESTIMATE algorithms were used to assess correlations between BOLA2B and tumor-infiltrating immune cells, immune cytokines, and immune scores.…”
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  20. 3300
    Image4_Integrative analysis of the role of BOLA2B in human pan-cancer.JPEG

    Image4_Integrative analysis of the role of BOLA2B in human pan-cancer.JPEG by Mingxing Liang (11361621)

    Published 2023
    “…TIMER and ESTIMATE algorithms were used to assess correlations between BOLA2B and tumor-infiltrating immune cells, immune cytokines, and immune scores.…”
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