Showing 2,801 - 2,820 results of 2,856 for search '(((( algorithm sphere function ) OR ( algorithm rate function ))) OR ( algorithm python function ))', query time: 0.37s Refine Results
  1. 2801

    Data Sheet 3_Key gene screening and diagnostic model establishment for acute type a aortic dissection.csv by Yue Pan (267516)

    Published 2025
    “…</p>Methods<p>Transcriptome datasets from the Gene Expression Omnibus (GEO) database were analyzed using differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning algorithms (SVM, Random Forest, LASSO regression). Functional enrichment and immunoinfiltration analyses were performed to explore biological pathways and immune cell interactions. …”
  2. 2802

    Data Sheet 2_Key gene screening and diagnostic model establishment for acute type a aortic dissection.csv by Yue Pan (267516)

    Published 2025
    “…</p>Methods<p>Transcriptome datasets from the Gene Expression Omnibus (GEO) database were analyzed using differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning algorithms (SVM, Random Forest, LASSO regression). Functional enrichment and immunoinfiltration analyses were performed to explore biological pathways and immune cell interactions. …”
  3. 2803

    Image 3_UBE2N as a novel prognostic and therapeutic biomarker of lung adenocarcinoma.tif by Haofeng Yin (19931343)

    Published 2025
    “…Differences in immune microenvironment components, immunoregulatory gene expression, and immune functional activities between subgroups stratified by UBE2N expression levels. …”
  4. 2804

    Image 5_UBE2N as a novel prognostic and therapeutic biomarker of lung adenocarcinoma.tif by Haofeng Yin (19931343)

    Published 2025
    “…Differences in immune microenvironment components, immunoregulatory gene expression, and immune functional activities between subgroups stratified by UBE2N expression levels. …”
  5. 2805

    Table 1_Key gene screening and diagnostic model establishment for acute type a aortic dissection.xlsx by Yue Pan (267516)

    Published 2025
    “…</p>Methods<p>Transcriptome datasets from the Gene Expression Omnibus (GEO) database were analyzed using differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning algorithms (SVM, Random Forest, LASSO regression). Functional enrichment and immunoinfiltration analyses were performed to explore biological pathways and immune cell interactions. …”
  6. 2806

    Image 1_UBE2N as a novel prognostic and therapeutic biomarker of lung adenocarcinoma.tif by Haofeng Yin (19931343)

    Published 2025
    “…Differences in immune microenvironment components, immunoregulatory gene expression, and immune functional activities between subgroups stratified by UBE2N expression levels. …”
  7. 2807

    Image 4_UBE2N as a novel prognostic and therapeutic biomarker of lung adenocarcinoma.tif by Haofeng Yin (19931343)

    Published 2025
    “…Differences in immune microenvironment components, immunoregulatory gene expression, and immune functional activities between subgroups stratified by UBE2N expression levels. …”
  8. 2808

    Data Sheet 4_Key gene screening and diagnostic model establishment for acute type a aortic dissection.csv by Yue Pan (267516)

    Published 2025
    “…</p>Methods<p>Transcriptome datasets from the Gene Expression Omnibus (GEO) database were analyzed using differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning algorithms (SVM, Random Forest, LASSO regression). Functional enrichment and immunoinfiltration analyses were performed to explore biological pathways and immune cell interactions. …”
  9. 2809

    Table 1_UBE2N as a novel prognostic and therapeutic biomarker of lung adenocarcinoma.docx by Haofeng Yin (19931343)

    Published 2025
    “…Differences in immune microenvironment components, immunoregulatory gene expression, and immune functional activities between subgroups stratified by UBE2N expression levels. …”
  10. 2810

    Data Sheet 5_Key gene screening and diagnostic model establishment for acute type a aortic dissection.csv by Yue Pan (267516)

    Published 2025
    “…</p>Methods<p>Transcriptome datasets from the Gene Expression Omnibus (GEO) database were analyzed using differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning algorithms (SVM, Random Forest, LASSO regression). Functional enrichment and immunoinfiltration analyses were performed to explore biological pathways and immune cell interactions. …”
  11. 2811

    Data Sheet 1_Key gene screening and diagnostic model establishment for acute type a aortic dissection.csv by Yue Pan (267516)

    Published 2025
    “…</p>Methods<p>Transcriptome datasets from the Gene Expression Omnibus (GEO) database were analyzed using differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning algorithms (SVM, Random Forest, LASSO regression). Functional enrichment and immunoinfiltration analyses were performed to explore biological pathways and immune cell interactions. …”
  12. 2812

    Image 2_UBE2N as a novel prognostic and therapeutic biomarker of lung adenocarcinoma.tif by Haofeng Yin (19931343)

    Published 2025
    “…Differences in immune microenvironment components, immunoregulatory gene expression, and immune functional activities between subgroups stratified by UBE2N expression levels. …”
  13. 2813

    Image 1_Machine learning based immune evasion signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma.jpeg by Wenwu Xue (21569741)

    Published 2025
    “…</p>Methods<p>An integrative machine learning framework incorporating 10 algorithms was applied to construct an immune evasion signature (IES) using 101 model combinations. …”
  14. 2814

    Table 2_Construction and validation of immune prognosis model for lung adenocarcinoma based on machine learning.docx by Jinyu Zheng (734257)

    Published 2025
    “…Introduction<p>Lung adenocarcinoma is a leading subtype of lung cancer with high rates of recurrence and metastasis. Identifying novel prognostic biomarkers is essential for improving patient outcomes.…”
  15. 2815

    TeraChem Cloud: A High-Performance Computing Service for Scalable Distributed GPU-Accelerated Electronic Structure Calculations by Stefan Seritan (1557013)

    Published 2020
    “…Cost-performance analysis indicates that traditional nodes are the most cost-effective long-term solution, but commercial cloud providers offer cutting-edge hardware with competitive rates for short-term large-scale calculations. We demonstrate the power of the TeraChem Cloud framework by carrying out several showcase calculations, including the generation of 300,000 density functional theory energy and gradient evaluations on medium-sized organic molecules and reproducing 300 fs of nonadiabatic dynamics on the B800-B850 antenna complex in LH2, with the latter demonstration using over 50 Tesla V100 GPUs in a commercial cloud environment in 8 h for approximately $1250.…”
  16. 2816

    DataSheet1_Role of Suprabasin in the Dedifferentiation of Follicular Epithelial Cell-Derived Thyroid Cancer and Identification of Related Immune Markers.ZIP by Hao Tan (117484)

    Published 2022
    “…Immunohistochemical staining results showed statistically significant differences among high-positive expression rates of SBSN in PTC, PDTC, and ATC. Functional enrichment analysis showed that SBSN expression was associated with pathways related to cancer, cell signaling, and immune response. …”
  17. 2817

    Table 1_Construction and validation of immune prognosis model for lung adenocarcinoma based on machine learning.docx by Jinyu Zheng (734257)

    Published 2025
    “…Introduction<p>Lung adenocarcinoma is a leading subtype of lung cancer with high rates of recurrence and metastasis. Identifying novel prognostic biomarkers is essential for improving patient outcomes.…”
  18. 2818

    Table 1_Machine learning based immune evasion signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma.docx by Wenwu Xue (21569741)

    Published 2025
    “…</p>Methods<p>An integrative machine learning framework incorporating 10 algorithms was applied to construct an immune evasion signature (IES) using 101 model combinations. …”
  19. 2819

    DataSheet_1_Prognostic and Predictive Value of BGN in Colon Cancer Outcomes and Response to Immunotherapy.docx by Zi-Xuan He (7484534)

    Published 2022
    “…Finally, we predicted the immunotherapeutic response rates in the subgroups of low and high BGN expression by TIS score, ImmuCellAI and TIDE algorithms.…”
  20. 2820

    Table_3_Prognostic and Predictive Value of BGN in Colon Cancer Outcomes and Response to Immunotherapy.xlsx by Zi-Xuan He (7484534)

    Published 2022
    “…Finally, we predicted the immunotherapeutic response rates in the subgroups of low and high BGN expression by TIS score, ImmuCellAI and TIDE algorithms.…”