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Showing 41 - 60 results of 107 for search '(( degs based network optimization algorithm ) OR ( binary task based optimization algorithm ))', query time: 0.66s Refine Results
  1. 41
    Image_2_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF

    Image_2_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF by Qianhui Xu (10517717)

    Published 2021
    “…Next, differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify significant mRNAsi-related modules with hub genes. …”
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  2. 42
    Image_1_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF

    Image_1_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF by Qianhui Xu (10517717)

    Published 2021
    “…Next, differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify significant mRNAsi-related modules with hub genes. …”
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  3. 43
    Image_9_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF

    Image_9_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF by Qianhui Xu (10517717)

    Published 2021
    “…Next, differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify significant mRNAsi-related modules with hub genes. …”
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  4. 44
    Image_4_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF

    Image_4_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF by Qianhui Xu (10517717)

    Published 2021
    “…Next, differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify significant mRNAsi-related modules with hub genes. …”
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  5. 45
    Image_7_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF

    Image_7_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF by Qianhui Xu (10517717)

    Published 2021
    “…Next, differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify significant mRNAsi-related modules with hub genes. …”
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  6. 46
    Image_5_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF

    Image_5_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF by Qianhui Xu (10517717)

    Published 2021
    “…Next, differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify significant mRNAsi-related modules with hub genes. …”
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  7. 47
    Image_3_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF

    Image_3_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF by Qianhui Xu (10517717)

    Published 2021
    “…Next, differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify significant mRNAsi-related modules with hub genes. …”
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  8. 48
    Image_8_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF

    Image_8_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF by Qianhui Xu (10517717)

    Published 2021
    “…Next, differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify significant mRNAsi-related modules with hub genes. …”
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  9. 49
    DataSheet3_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.XLSX

    DataSheet3_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.XLSX by Zhenglu Shang (11739470)

    Published 2021
    “…Moreover, four optimal feature genes were screened from the DEGs by support vector machine–recursive feature elimination (SVM-RFE) algorithm (EPB42, IFIT2, FOSB, and SNF1LK). …”
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  10. 50
    DataSheet2_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.XLSX

    DataSheet2_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.XLSX by Zhenglu Shang (11739470)

    Published 2021
    “…Moreover, four optimal feature genes were screened from the DEGs by support vector machine–recursive feature elimination (SVM-RFE) algorithm (EPB42, IFIT2, FOSB, and SNF1LK). …”
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  11. 51
    DataSheet1_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.XLSX

    DataSheet1_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.XLSX by Zhenglu Shang (11739470)

    Published 2021
    “…Moreover, four optimal feature genes were screened from the DEGs by support vector machine–recursive feature elimination (SVM-RFE) algorithm (EPB42, IFIT2, FOSB, and SNF1LK). …”
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  12. 52
    Data_Sheet_2_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.xlsx

    Data_Sheet_2_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.xlsx by Qianhui Xu (10517717)

    Published 2021
    “…Next, differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify significant mRNAsi-related modules with hub genes. …”
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  13. 53
    Data_Sheet_1_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.DOCX

    Data_Sheet_1_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.DOCX by Qianhui Xu (10517717)

    Published 2021
    “…Next, differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were employed to identify significant mRNAsi-related modules with hub genes. …”
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  14. 54
    Image_2_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.tif

    Image_2_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.tif by Ge Jiang (2792095)

    Published 2023
    “…GO, KEGG analysis and PPI network were conducted based on these 46 DEGs. By jointly using LASSO algorithm and Cox univariate regression, we generated a 6-gene prognostic signature comprising VEGFA, KLHL24, ATG3, EIF2AK4, IDH1 and HSPB1. …”
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  15. 55
    Image_3_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.tif

    Image_3_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.tif by Ge Jiang (2792095)

    Published 2023
    “…GO, KEGG analysis and PPI network were conducted based on these 46 DEGs. By jointly using LASSO algorithm and Cox univariate regression, we generated a 6-gene prognostic signature comprising VEGFA, KLHL24, ATG3, EIF2AK4, IDH1 and HSPB1. …”
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  16. 56
    Image_1_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.tif

    Image_1_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.tif by Ge Jiang (2792095)

    Published 2023
    “…GO, KEGG analysis and PPI network were conducted based on these 46 DEGs. By jointly using LASSO algorithm and Cox univariate regression, we generated a 6-gene prognostic signature comprising VEGFA, KLHL24, ATG3, EIF2AK4, IDH1 and HSPB1. …”
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  17. 57
    DataSheet_1_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.docx

    DataSheet_1_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.docx by Ge Jiang (2792095)

    Published 2023
    “…GO, KEGG analysis and PPI network were conducted based on these 46 DEGs. By jointly using LASSO algorithm and Cox univariate regression, we generated a 6-gene prognostic signature comprising VEGFA, KLHL24, ATG3, EIF2AK4, IDH1 and HSPB1. …”
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  18. 58
    DataSheet_2_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.zip

    DataSheet_2_Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.zip by Ge Jiang (2792095)

    Published 2023
    “…GO, KEGG analysis and PPI network were conducted based on these 46 DEGs. By jointly using LASSO algorithm and Cox univariate regression, we generated a 6-gene prognostic signature comprising VEGFA, KLHL24, ATG3, EIF2AK4, IDH1 and HSPB1. …”
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  19. 59
    Table_2_An immunogenic cell death-related regulators classification patterns and immune microenvironment infiltration characterization in intracranial aneurysm based on machine learning.xlsx

    Table_2_An immunogenic cell death-related regulators classification patterns and immune microenvironment infiltration characterization in intracranial aneurysm based on machine lea... by Mirzat Turhon (12220898)

    Published 2022
    “…</p>Conclusions<p>A new gene signature for IA based on ICD features was created. This signature shows that the ICD pattern and the immune microenvironment are closely related to IA and provide a basis for optimizing risk monitoring, clinical decision-making, and developing novel treatment strategies for patients with IA.…”
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  20. 60
    Image_3_An immunogenic cell death-related regulators classification patterns and immune microenvironment infiltration characterization in intracranial aneurysm based on machine learning.tiff

    Image_3_An immunogenic cell death-related regulators classification patterns and immune microenvironment infiltration characterization in intracranial aneurysm based on machine lea... by Mirzat Turhon (12220898)

    Published 2022
    “…</p>Conclusions<p>A new gene signature for IA based on ICD features was created. This signature shows that the ICD pattern and the immune microenvironment are closely related to IA and provide a basis for optimizing risk monitoring, clinical decision-making, and developing novel treatment strategies for patients with IA.…”
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