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Showing 121 - 140 results of 161 for search '(( algorithm python function ) OR ( ((algorithm python) OR (algorithm etc)) function ))*', query time: 0.31s Refine Results
  1. 121
    Code

    Code by Baoqiang Chen (21099509)

    Published 2025
    “…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”
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  2. 122
    Core data

    Core data by Baoqiang Chen (21099509)

    Published 2025
    “…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”
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  3. 123
    Landscape17

    Landscape17 by Vlad Carare (22092515)

    Published 2025
    “…</p><p dir="ltr">We utilized TopSearch, an open-source Python package, to perform landscape exploration, at an estimated cost of 10<sup>5 </sup>CPUh. …”
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  4. 124
    MCCN Case Study 2 - Spatial projection via modelled data

    MCCN Case Study 2 - Spatial projection via modelled data by Donald Hobern (21435904)

    Published 2025
    “…This study demonstrates: 1) Description of spatial assets using STAC, 2) Loading heterogeneous data sources into a cube, 3) Spatial projection in xarray using different algorithms offered by the <a href="https://pypi.org/project/PyKrige/" rel="nofollow" target="_blank">pykrige</a> and <a href="https://pypi.org/project/rioxarray/" rel="nofollow" target="_blank">rioxarray</a> packages.…”
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  5. 125
    Data Sheet 1_Machine learning models integrating intracranial artery calcification to predict outcomes of mechanical thrombectomy.pdf

    Data Sheet 1_Machine learning models integrating intracranial artery calcification to predict outcomes of mechanical thrombectomy.pdf by Guangzong Li (16696443)

    Published 2025
    “…Eleven ML algorithms were trained and validated using Python, and external validation and performance evaluations were conducted. …”
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  6. 126
    Image 1_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif

    Image 1_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif by Wenzhe Li (815057)

    Published 2025
    “…Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. …”
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  7. 127
    Image 3_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif

    Image 3_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif by Wenzhe Li (815057)

    Published 2025
    “…Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. …”
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  8. 128
    Image 2_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif

    Image 2_Diabetic kidney disease: m6A modification as a marker of disease progression and subtype classification.tif by Wenzhe Li (815057)

    Published 2025
    “…Gene set variation analysis algorithm was used to evaluate the functional pathway enrichment of m6A modified subtypes. …”
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  9. 129
    Logical Fault Detection Approach for Mixed Control Flipping Faults in Reversible Circuits

    Logical Fault Detection Approach for Mixed Control Flipping Faults in Reversible Circuits by Mousum Handique (21385838)

    Published 2025
    “…Simultaneously, in order to observe the correct behavior of reversible circuits in terms of performing the correct functionality and integrity performance, testing plays an important role. …”
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  10. 130
    DataSheet_1_A novel model based on necroptosis to assess progression for polycystic ovary syndrome and identification of potential therapeutic drugs.docx

    DataSheet_1_A novel model based on necroptosis to assess progression for polycystic ovary syndrome and identification of potential therapeutic drugs.docx by Mingming Wang (394106)

    Published 2024
    “…Several compounds, such as resveratrol, tretinoin, quercetin, curcumin, etc., were mined as therapeutic drugs for PCOS. …”
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  11. 131
    DataSheet_2_A novel model based on necroptosis to assess progression for polycystic ovary syndrome and identification of potential therapeutic drugs.docx

    DataSheet_2_A novel model based on necroptosis to assess progression for polycystic ovary syndrome and identification of potential therapeutic drugs.docx by Mingming Wang (394106)

    Published 2024
    “…Several compounds, such as resveratrol, tretinoin, quercetin, curcumin, etc., were mined as therapeutic drugs for PCOS. …”
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  12. 132
    Table_4_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx

    Table_4_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx by Vennila Suriyagandhi (22061534)

    Published 2025
    “…The top 10 pathways interacted with the common 33 genes and created two functional modules. Using Cytoscape network analysis, the top ten hub genes (TP53, AKT1, MAPK3, PTGS2, TNF, IL6, MAPK1, ERBB2, IL1B, MTOR) were identified by the MCC algorithm of the CytoHubba plugin. …”
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  13. 133
    Table_3_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx

    Table_3_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx by Vennila Suriyagandhi (22061534)

    Published 2025
    “…The top 10 pathways interacted with the common 33 genes and created two functional modules. Using Cytoscape network analysis, the top ten hub genes (TP53, AKT1, MAPK3, PTGS2, TNF, IL6, MAPK1, ERBB2, IL1B, MTOR) were identified by the MCC algorithm of the CytoHubba plugin. …”
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  14. 134
    Table_1_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx

    Table_1_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx by Vennila Suriyagandhi (22061534)

    Published 2025
    “…The top 10 pathways interacted with the common 33 genes and created two functional modules. Using Cytoscape network analysis, the top ten hub genes (TP53, AKT1, MAPK3, PTGS2, TNF, IL6, MAPK1, ERBB2, IL1B, MTOR) were identified by the MCC algorithm of the CytoHubba plugin. …”
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  15. 135
    Table_4_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx

    Table_4_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx by Vennila Suriyagandhi (22061534)

    Published 2025
    “…The top 10 pathways interacted with the common 33 genes and created two functional modules. Using Cytoscape network analysis, the top ten hub genes (TP53, AKT1, MAPK3, PTGS2, TNF, IL6, MAPK1, ERBB2, IL1B, MTOR) were identified by the MCC algorithm of the CytoHubba plugin. …”
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  16. 136
    DataSheet_1_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.docx

    DataSheet_1_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.docx by Vennila Suriyagandhi (22061534)

    Published 2025
    “…The top 10 pathways interacted with the common 33 genes and created two functional modules. Using Cytoscape network analysis, the top ten hub genes (TP53, AKT1, MAPK3, PTGS2, TNF, IL6, MAPK1, ERBB2, IL1B, MTOR) were identified by the MCC algorithm of the CytoHubba plugin. …”
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  17. 137
    Table_2_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx

    Table_2_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx by Vennila Suriyagandhi (22061534)

    Published 2025
    “…The top 10 pathways interacted with the common 33 genes and created two functional modules. Using Cytoscape network analysis, the top ten hub genes (TP53, AKT1, MAPK3, PTGS2, TNF, IL6, MAPK1, ERBB2, IL1B, MTOR) were identified by the MCC algorithm of the CytoHubba plugin. …”
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  18. 138
    Table_5_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx

    Table_5_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx by Vennila Suriyagandhi (22061534)

    Published 2025
    “…The top 10 pathways interacted with the common 33 genes and created two functional modules. Using Cytoscape network analysis, the top ten hub genes (TP53, AKT1, MAPK3, PTGS2, TNF, IL6, MAPK1, ERBB2, IL1B, MTOR) were identified by the MCC algorithm of the CytoHubba plugin. …”
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  19. 139
    Table_1_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx

    Table_1_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx by Vennila Suriyagandhi (22061534)

    Published 2025
    “…The top 10 pathways interacted with the common 33 genes and created two functional modules. Using Cytoscape network analysis, the top ten hub genes (TP53, AKT1, MAPK3, PTGS2, TNF, IL6, MAPK1, ERBB2, IL1B, MTOR) were identified by the MCC algorithm of the CytoHubba plugin. …”
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  20. 140
    Table_2_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx

    Table_2_Therapeutic Target Analysis and Molecular Mechanism of Melatonin - Treated Leptin Resistance Induced Obesity: A Systematic Study of Network Pharmacology.xlsx by Vennila Suriyagandhi (22061534)

    Published 2025
    “…The top 10 pathways interacted with the common 33 genes and created two functional modules. Using Cytoscape network analysis, the top ten hub genes (TP53, AKT1, MAPK3, PTGS2, TNF, IL6, MAPK1, ERBB2, IL1B, MTOR) were identified by the MCC algorithm of the CytoHubba plugin. …”
    Save to List
    Saved in:

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