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Showing 12,861 - 12,880 results of 12,988 for search '(( algorithm python function ) OR ( ((algorithms using) OR (algorithm using)) function ))', query time: 0.78s Refine Results
  1. 12861
    Table3_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX

    Table3_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX by Tao Han (22342)

    Published 2021
    “…We analyzed the accuracy of the prediction model via ROC curves and performed GSEA enrichment analysis. The ssGSEA algorithm was used to calculate the score of immune cell infiltration and the activity of immune-related pathways. …”
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  2. 12862
    Table1_Development and Validation of Ischemic Events Related Signature After Carotid Endarterectomy.XLSX

    Table1_Development and Validation of Ischemic Events Related Signature After Carotid Endarterectomy.XLSX by Chunguang Guo (5979071)

    Published 2022
    “…In the train set, the random forest algorithm was used to identify critical genes for predicting ischemic events after CEA, and further dimension reduction was performed by LASSO logistic regression. …”
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  3. 12863
    Table10_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX

    Table10_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX by Tao Han (22342)

    Published 2021
    “…We analyzed the accuracy of the prediction model via ROC curves and performed GSEA enrichment analysis. The ssGSEA algorithm was used to calculate the score of immune cell infiltration and the activity of immune-related pathways. …”
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  4. 12864
    Table8_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX

    Table8_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX by Tao Han (22342)

    Published 2021
    “…We analyzed the accuracy of the prediction model via ROC curves and performed GSEA enrichment analysis. The ssGSEA algorithm was used to calculate the score of immune cell infiltration and the activity of immune-related pathways. …”
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  5. 12865
    Table7_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX

    Table7_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX by Tao Han (22342)

    Published 2021
    “…We analyzed the accuracy of the prediction model via ROC curves and performed GSEA enrichment analysis. The ssGSEA algorithm was used to calculate the score of immune cell infiltration and the activity of immune-related pathways. …”
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  6. 12866
    Table2_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX

    Table2_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX by Tao Han (22342)

    Published 2021
    “…We analyzed the accuracy of the prediction model via ROC curves and performed GSEA enrichment analysis. The ssGSEA algorithm was used to calculate the score of immune cell infiltration and the activity of immune-related pathways. …”
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  7. 12867
    Table1_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX

    Table1_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX by Tao Han (22342)

    Published 2021
    “…We analyzed the accuracy of the prediction model via ROC curves and performed GSEA enrichment analysis. The ssGSEA algorithm was used to calculate the score of immune cell infiltration and the activity of immune-related pathways. …”
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  8. 12868
    Table5_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX

    Table5_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX by Tao Han (22342)

    Published 2021
    “…We analyzed the accuracy of the prediction model via ROC curves and performed GSEA enrichment analysis. The ssGSEA algorithm was used to calculate the score of immune cell infiltration and the activity of immune-related pathways. …”
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  9. 12869
    Table6_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX

    Table6_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX by Tao Han (22342)

    Published 2021
    “…We analyzed the accuracy of the prediction model via ROC curves and performed GSEA enrichment analysis. The ssGSEA algorithm was used to calculate the score of immune cell infiltration and the activity of immune-related pathways. …”
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  10. 12870
    Table4_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX

    Table4_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX by Tao Han (22342)

    Published 2021
    “…We analyzed the accuracy of the prediction model via ROC curves and performed GSEA enrichment analysis. The ssGSEA algorithm was used to calculate the score of immune cell infiltration and the activity of immune-related pathways. …”
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  11. 12871
    Table9_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX

    Table9_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLSX by Tao Han (22342)

    Published 2021
    “…We analyzed the accuracy of the prediction model via ROC curves and performed GSEA enrichment analysis. The ssGSEA algorithm was used to calculate the score of immune cell infiltration and the activity of immune-related pathways. …”
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  12. 12872
    Table12_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLS

    Table12_Comprehensive Analysis of Inflammatory Response–Related Genes, and Prognosis and Immune Infiltration in Patients With Low-Grade Glioma.XLS by Tao Han (22342)

    Published 2021
    “…We analyzed the accuracy of the prediction model via ROC curves and performed GSEA enrichment analysis. The ssGSEA algorithm was used to calculate the score of immune cell infiltration and the activity of immune-related pathways. …”
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  13. 12873
    Table_1_Construction and Validation of an Immune-Related Risk Score Model for Survival Prediction in Glioblastoma.DOCX

    Table_1_Construction and Validation of an Immune-Related Risk Score Model for Survival Prediction in Glioblastoma.DOCX by Wei Ren (267391)

    Published 2022
    “…The CIBERSORT algorithm was used for correlation analysis of the marker genes and the tumor-infiltrating immune cells.…”
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  14. 12874
    Image1_Construction of a prognostic model based on eight ubiquitination-related genes via machine learning and potential therapeutics analysis for cervical cancer.JPEG

    Image1_Construction of a prognostic model based on eight ubiquitination-related genes via machine learning and potential therapeutics analysis for cervical cancer.JPEG by Yiping Hao (3625016)

    Published 2023
    “…Machine learning was further used to select the DURGs. Then, we constructed and validated a reliable prognostic gene signature by multivariate analysis. …”
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  15. 12875
    Image4_Construction of a prognostic model based on eight ubiquitination-related genes via machine learning and potential therapeutics analysis for cervical cancer.JPEG

    Image4_Construction of a prognostic model based on eight ubiquitination-related genes via machine learning and potential therapeutics analysis for cervical cancer.JPEG by Yiping Hao (3625016)

    Published 2023
    “…Machine learning was further used to select the DURGs. Then, we constructed and validated a reliable prognostic gene signature by multivariate analysis. …”
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  16. 12876
    Image5_Construction of a prognostic model based on eight ubiquitination-related genes via machine learning and potential therapeutics analysis for cervical cancer.JPEG

    Image5_Construction of a prognostic model based on eight ubiquitination-related genes via machine learning and potential therapeutics analysis for cervical cancer.JPEG by Yiping Hao (3625016)

    Published 2023
    “…Machine learning was further used to select the DURGs. Then, we constructed and validated a reliable prognostic gene signature by multivariate analysis. …”
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  17. 12877
    Image2_Construction of a prognostic model based on eight ubiquitination-related genes via machine learning and potential therapeutics analysis for cervical cancer.JPEG

    Image2_Construction of a prognostic model based on eight ubiquitination-related genes via machine learning and potential therapeutics analysis for cervical cancer.JPEG by Yiping Hao (3625016)

    Published 2023
    “…Machine learning was further used to select the DURGs. Then, we constructed and validated a reliable prognostic gene signature by multivariate analysis. …”
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  18. 12878
    DataSheet1_Allosterically coupled conformational dynamics in solution prepare the sterol transfer protein StarD4 to release its cargo upon interaction with target membranes.PDF

    DataSheet1_Allosterically coupled conformational dynamics in solution prepare the sterol transfer protein StarD4 to release its cargo upon interaction with target membranes.PDF by Hengyi Xie (12213175)

    Published 2023
    “…<p>Complex mechanisms regulate the cellular distribution of cholesterol, a critical component of eukaryote membranes involved in regulation of membrane protein functions directly and through the physiochemical properties of membranes. …”
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  19. 12879
    Image3_Construction of a prognostic model based on eight ubiquitination-related genes via machine learning and potential therapeutics analysis for cervical cancer.JPEG

    Image3_Construction of a prognostic model based on eight ubiquitination-related genes via machine learning and potential therapeutics analysis for cervical cancer.JPEG by Yiping Hao (3625016)

    Published 2023
    “…Machine learning was further used to select the DURGs. Then, we constructed and validated a reliable prognostic gene signature by multivariate analysis. …”
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  20. 12880
    Table1_Landscape of T Cells Transcriptional and Metabolic Modules During HIV Infection Based on Weighted Gene Co-expression Network Analysis.XLSX

    Table1_Landscape of T Cells Transcriptional and Metabolic Modules During HIV Infection Based on Weighted Gene Co-expression Network Analysis.XLSX by Jianting Xu (4262554)

    Published 2021
    “…Weighted gene co-expression network analysis was used to evaluate changes in gene expression to determine the antiviral response. …”
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