Search alternatives:
whale optimization » swarm optimization (Expand Search)
binary task » binary mask (Expand Search)
degs based » diets based (Expand Search), lens based (Expand Search), wgs based (Expand Search)
Showing 1 - 20 results of 190 for search '(( degs based _ optimization algorithm ) OR ( binary task whale optimization algorithm ))', query time: 0.39s Refine Results
  1. 1
    Table1_Development and evaluation of a chronic kidney disease risk prediction model using random forest.xlsx

    Table1_Development and evaluation of a chronic kidney disease risk prediction model using random forest.xlsx by Krish Mendapara (18890758)

    Published 2024
    Save to List
    Saved in:
  2. 2
    Image2_Development and evaluation of a chronic kidney disease risk prediction model using random forest.png

    Image2_Development and evaluation of a chronic kidney disease risk prediction model using random forest.png by Krish Mendapara (18890758)

    Published 2024
    Save to List
    Saved in:
  3. 3
    Image3_Development and evaluation of a chronic kidney disease risk prediction model using random forest.png

    Image3_Development and evaluation of a chronic kidney disease risk prediction model using random forest.png by Krish Mendapara (18890758)

    Published 2024
    Save to List
    Saved in:
  4. 4
    Image1_Development and evaluation of a chronic kidney disease risk prediction model using random forest.png

    Image1_Development and evaluation of a chronic kidney disease risk prediction model using random forest.png by Krish Mendapara (18890758)

    Published 2024
    Save to List
    Saved in:
  5. 5
    Table3_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX

    Table3_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX by Zhen Wang (72451)

    Published 2023
    “…Weighted gene coexpression network analysis (WGCNA) and two machine learning algorithms were employed to identify potential biomarkers for CRPC. …”
    Save to List
    Saved in:
  6. 6
    Table2_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX

    Table2_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX by Zhen Wang (72451)

    Published 2023
    “…Weighted gene coexpression network analysis (WGCNA) and two machine learning algorithms were employed to identify potential biomarkers for CRPC. …”
    Save to List
    Saved in:
  7. 7
    Table1_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX

    Table1_Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.XLSX by Zhen Wang (72451)

    Published 2023
    “…Weighted gene coexpression network analysis (WGCNA) and two machine learning algorithms were employed to identify potential biomarkers for CRPC. …”
    Save to List
    Saved in:
  8. 8
    DataSheet1_Comprehensive analysis of immune-related gene signature based on ssGSEA algorithms in the prognosis and immune landscape of hepatocellular carcinoma.ZIP

    DataSheet1_Comprehensive analysis of immune-related gene signature based on ssGSEA algorithms in the prognosis and immune landscape of hepatocellular carcinoma.ZIP by Liangliang Wang (580395)

    Published 2022
    “…Furthermore, Cox regression analysis revealed 49 DEGs that were associated with survival. Then, 19 DEGs were screened using the LASSO algorithm for IRGs construction and patients were classified into high- and low-risk groups. …”
    Save to List
    Saved in:
  9. 9
    Unsupervised clustering and marker gene signatures.

    Unsupervised clustering and marker gene signatures. by Josh L. Espinoza (10492448)

    Published 2021
    Save to List
    Saved in:
  10. 10
    An inflammation-associated ferroptosis signature can optimize the diagnosis, prognosis evaluation and immunotherapy options in hepatocellular carcinoma

    An inflammation-associated ferroptosis signature can optimize the diagnosis, prognosis evaluation and immunotherapy options in hepatocellular carcinoma by Wanyuan Ruan (13763851)

    Published 2023
    “…</p> <p>Results: A total of 224 intersecting DEGs identified from different inflammation- and ferroptosis-subtypes were set as IAF-genes. …”
    Save to List
    Saved in:
  11. 11
    Table1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.xlsx

    Table1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.xlsx by Yu Yin (329063)

    Published 2023
    “…In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…”
    Save to List
    Saved in:
  12. 12
    Image1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.pdf

    Image1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.pdf by Yu Yin (329063)

    Published 2023
    “…In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…”
    Save to List
    Saved in:
  13. 13
    Image_1_Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm.TIFF

    Image_1_Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm.TIFF by Hao Chen (5190)

    Published 2022
    “…</p>Conclusion<p>This study identified ten energy metabolism-related diagnostic markers using random forest algorithm, which may help optimize risk stratification and clinical treatment in HF patients.…”
    Save to List
    Saved in:
  14. 14
    Table_1_Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm.XLSX

    Table_1_Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm.XLSX by Hao Chen (5190)

    Published 2022
    “…</p>Conclusion<p>This study identified ten energy metabolism-related diagnostic markers using random forest algorithm, which may help optimize risk stratification and clinical treatment in HF patients.…”
    Save to List
    Saved in:
  15. 15
    Table_6_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx

    Table_6_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx by Ying Zhou (25031)

    Published 2022
    “…</p>Results<p>A total of 49 PRGs were obtained from public database and 35 of them were significantly differentially expressed genes (DEGs). Cluster analysis was then performed to explore the relationship between DEGs with overall survival. …”
    Save to List
    Saved in:
  16. 16
    Table_1_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx

    Table_1_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx by Ying Zhou (25031)

    Published 2022
    “…</p>Results<p>A total of 49 PRGs were obtained from public database and 35 of them were significantly differentially expressed genes (DEGs). Cluster analysis was then performed to explore the relationship between DEGs with overall survival. …”
    Save to List
    Saved in:
  17. 17
    Image_1_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.tif

    Image_1_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.tif by Ying Zhou (25031)

    Published 2022
    “…</p>Results<p>A total of 49 PRGs were obtained from public database and 35 of them were significantly differentially expressed genes (DEGs). Cluster analysis was then performed to explore the relationship between DEGs with overall survival. …”
    Save to List
    Saved in:
  18. 18
    Table_2_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx

    Table_2_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx by Ying Zhou (25031)

    Published 2022
    “…</p>Results<p>A total of 49 PRGs were obtained from public database and 35 of them were significantly differentially expressed genes (DEGs). Cluster analysis was then performed to explore the relationship between DEGs with overall survival. …”
    Save to List
    Saved in:
  19. 19
    Table_4_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx

    Table_4_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx by Ying Zhou (25031)

    Published 2022
    “…</p>Results<p>A total of 49 PRGs were obtained from public database and 35 of them were significantly differentially expressed genes (DEGs). Cluster analysis was then performed to explore the relationship between DEGs with overall survival. …”
    Save to List
    Saved in:
  20. 20
    Table_5_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx

    Table_5_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx by Ying Zhou (25031)

    Published 2022
    “…</p>Results<p>A total of 49 PRGs were obtained from public database and 35 of them were significantly differentially expressed genes (DEGs). Cluster analysis was then performed to explore the relationship between DEGs with overall survival. …”
    Save to List
    Saved in:

Search Tools: