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Showing 1 - 10 results of 10 for search 'nf selection algorithm', query time: 0.16s Refine Results
  1. 1
    Screening process for marker genes from 7 DEGs and the diagnostic value of marker genes.

    Screening process for marker genes from 7 DEGs and the diagnostic value of marker genes. by Kaiyi Zhou (2553352)

    Published 2024
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  2. 2
    The information of datasets used in this study.

    The information of datasets used in this study. by Kaiyi Zhou (2553352)

    Published 2024
    “…To identify the marker genes, we applied two machine learning algorithms: the least absolute shrinkage and selection operator (LASSO) and the support vector machine recursive feature elimination (SVM-RFE). …”
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  3. 3
    The workflow of the present study.

    The workflow of the present study. by Kaiyi Zhou (2553352)

    Published 2024
    “…To identify the marker genes, we applied two machine learning algorithms: the least absolute shrinkage and selection operator (LASSO) and the support vector machine recursive feature elimination (SVM-RFE). …”
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  4. 4
    Proteinoid-based encryption process. The setup involves importing measurement data, including voltage, capacitance, impedance, and resistance, from various proteinoid samples.

    Proteinoid-based encryption process. The setup involves importing measurement data, including voltage, capacitance, impedance, and resistance, from various proteinoid samples. by Panagiotis Mougkogiannis (17002143)

    Published 2025
    “…<p>A designated proteinoid sample is selected as the encryption key based on its unique electrical properties. …”
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  5. 5
    Target prediction of novel <i>E. histolytica</i> miRNAs in the human and <i>E. histolytica</i> genome.

    Target prediction of novel <i>E. histolytica</i> miRNAs in the human and <i>E. histolytica</i> genome. by Barbara Honecker (10328267)

    Published 2025
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  6. 6
    Image 1_The relationship between immune cell infiltration and necroptosis gene expression in sepsis: an analysis using single-cell transcriptomic data.jpeg

    Image 1_The relationship between immune cell infiltration and necroptosis gene expression in sepsis: an analysis using single-cell transcriptomic data.jpeg by Shouyi Wang (4449574)

    Published 2025
    “…Least Absolute Shrinkage and Selection Operator (LASSO) regression identified 22 key DEGs, including CTSS, MAPK8, and MPRIP. …”
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  7. 7
    Image 3_The relationship between immune cell infiltration and necroptosis gene expression in sepsis: an analysis using single-cell transcriptomic data.jpeg

    Image 3_The relationship between immune cell infiltration and necroptosis gene expression in sepsis: an analysis using single-cell transcriptomic data.jpeg by Shouyi Wang (4449574)

    Published 2025
    “…Least Absolute Shrinkage and Selection Operator (LASSO) regression identified 22 key DEGs, including CTSS, MAPK8, and MPRIP. …”
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  8. 8
    Image 2_The relationship between immune cell infiltration and necroptosis gene expression in sepsis: an analysis using single-cell transcriptomic data.jpeg

    Image 2_The relationship between immune cell infiltration and necroptosis gene expression in sepsis: an analysis using single-cell transcriptomic data.jpeg by Shouyi Wang (4449574)

    Published 2025
    “…Least Absolute Shrinkage and Selection Operator (LASSO) regression identified 22 key DEGs, including CTSS, MAPK8, and MPRIP. …”
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  9. 9
    Table 1_The relationship between immune cell infiltration and necroptosis gene expression in sepsis: an analysis using single-cell transcriptomic data.docx

    Table 1_The relationship between immune cell infiltration and necroptosis gene expression in sepsis: an analysis using single-cell transcriptomic data.docx by Shouyi Wang (4449574)

    Published 2025
    “…Least Absolute Shrinkage and Selection Operator (LASSO) regression identified 22 key DEGs, including CTSS, MAPK8, and MPRIP. …”
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  10. 10
    Table 1_Developing models for the diagnosing of ulcerative colitis and prognosis of anti-TNF-α non-response based on neutrophil extracellular trap-associated genes.docx

    Table 1_Developing models for the diagnosing of ulcerative colitis and prognosis of anti-TNF-α non-response based on neutrophil extracellular trap-associated genes.docx by Jinyuan Ou (22163431)

    Published 2025
    “…Hub genes were identified using weighted gene co-expression network analysis and machine learning algorithms. Spearman correlation analyses were performed to assess associations between hub genes, immune cell infiltration, and clinical disease activity. …”
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