Search alternatives:
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
sample processing » image processing (Expand Search), time processing (Expand Search), pre processing (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
Showing 10,481 - 10,500 results of 10,510 for search '(((( data using algorithm ) OR ( sample processing algorithm ))) OR ( element method algorithm ))', query time: 0.55s Refine Results
  1. 10481
    Image 3_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg

    Image 3_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg by Xingbiao Chen (22481431)

    Published 2025
    “…A total of fourteen machine learning algorithms were employed, yielding 148 unique combinations. …”
    Save to List
    Saved in:
  2. 10482
    Image 6_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg

    Image 6_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg by Xingbiao Chen (22481431)

    Published 2025
    “…A total of fourteen machine learning algorithms were employed, yielding 148 unique combinations. …”
    Save to List
    Saved in:
  3. 10483
    Image 9_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg

    Image 9_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg by Xingbiao Chen (22481431)

    Published 2025
    “…A total of fourteen machine learning algorithms were employed, yielding 148 unique combinations. …”
    Save to List
    Saved in:
  4. 10484
    Image 5_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg

    Image 5_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg by Xingbiao Chen (22481431)

    Published 2025
    “…A total of fourteen machine learning algorithms were employed, yielding 148 unique combinations. …”
    Save to List
    Saved in:
  5. 10485
    Image 4_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg

    Image 4_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg by Xingbiao Chen (22481431)

    Published 2025
    “…A total of fourteen machine learning algorithms were employed, yielding 148 unique combinations. …”
    Save to List
    Saved in:
  6. 10486
    Table 1_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.xls

    Table 1_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.xls by Xingbiao Chen (22481431)

    Published 2025
    “…A total of fourteen machine learning algorithms were employed, yielding 148 unique combinations. …”
    Save to List
    Saved in:
  7. 10487
    Image 2_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg

    Image 2_Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia.jpeg by Xingbiao Chen (22481431)

    Published 2025
    “…A total of fourteen machine learning algorithms were employed, yielding 148 unique combinations. …”
    Save to List
    Saved in:
  8. 10488
    Image 1_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.tif

    Image 1_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.tif by Shan He (121220)

    Published 2025
    “…Finally, the expression levels of core genes in human samples were validated through quantitative real-time PCR (qRT-PCR).…”
    Save to List
    Saved in:
  9. 10489
    Table 1_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.docx

    Table 1_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.docx by Shan He (121220)

    Published 2025
    “…Finally, the expression levels of core genes in human samples were validated through quantitative real-time PCR (qRT-PCR).…”
    Save to List
    Saved in:
  10. 10490
    Table 2_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.docx

    Table 2_Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning.docx by Shan He (121220)

    Published 2025
    “…Finally, the expression levels of core genes in human samples were validated through quantitative real-time PCR (qRT-PCR).…”
    Save to List
    Saved in:
  11. 10491
    Table 3_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.xlsx

    Table 3_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.xlsx by Li-Wei Zhang (2184769)

    Published 2024
    “…Enrichment analyses were performed to assess the biological processes and signaling pathways associated with these DEGs. …”
    Save to List
    Saved in:
  12. 10492
    Table 5_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.xlsx

    Table 5_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.xlsx by Li-Wei Zhang (2184769)

    Published 2024
    “…Enrichment analyses were performed to assess the biological processes and signaling pathways associated with these DEGs. …”
    Save to List
    Saved in:
  13. 10493
    Image 2_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.pdf

    Image 2_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.pdf by Li-Wei Zhang (2184769)

    Published 2024
    “…Enrichment analyses were performed to assess the biological processes and signaling pathways associated with these DEGs. …”
    Save to List
    Saved in:
  14. 10494
    Image 1_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.pdf

    Image 1_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.pdf by Li-Wei Zhang (2184769)

    Published 2024
    “…Enrichment analyses were performed to assess the biological processes and signaling pathways associated with these DEGs. …”
    Save to List
    Saved in:
  15. 10495
    Image 3_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.pdf

    Image 3_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.pdf by Li-Wei Zhang (2184769)

    Published 2024
    “…Enrichment analyses were performed to assess the biological processes and signaling pathways associated with these DEGs. …”
    Save to List
    Saved in:
  16. 10496
    Table 4_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.xlsx

    Table 4_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.xlsx by Li-Wei Zhang (2184769)

    Published 2024
    “…Enrichment analyses were performed to assess the biological processes and signaling pathways associated with these DEGs. …”
    Save to List
    Saved in:
  17. 10497
    Table 1_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.xlsx

    Table 1_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.xlsx by Li-Wei Zhang (2184769)

    Published 2024
    “…Enrichment analyses were performed to assess the biological processes and signaling pathways associated with these DEGs. …”
    Save to List
    Saved in:
  18. 10498
    Table 2_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.xlsx

    Table 2_Identification of biomarkers and immune microenvironment associated with pterygium through bioinformatics and machine learning.xlsx by Li-Wei Zhang (2184769)

    Published 2024
    “…Enrichment analyses were performed to assess the biological processes and signaling pathways associated with these DEGs. …”
    Save to List
    Saved in:
  19. 10499
    Image 6_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.tif

    Image 6_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.tif by Liuqing Yang (128705)

    Published 2025
    “…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …”
    Save to List
    Saved in:
  20. 10500
    Presentation 1_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.pptx

    Presentation 1_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.pptx by Liuqing Yang (128705)

    Published 2025
    “…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …”
    Save to List
    Saved in:

Search Tools: