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Showing 1 - 7 results of 7 for search '(( genes based dose optimization algorithm ) OR ( binary layer complex optimization algorithm ))', query time: 0.49s Refine Results
  1. 1
    Data Sheet 1_Stemness-related gene signatures as a predictive tool for breast cancer radiosensitivity.pdf

    Data Sheet 1_Stemness-related gene signatures as a predictive tool for breast cancer radiosensitivity.pdf by Jinzhi Lai (6856568)

    Published 2025
    “…Based on these genes, a radiosensitivity signature comprising two stemness-related genes (EMILIN1 and CYP4Z1) was constructed, stratifying patients into radiosensitive (RS) and radioresistant (RR) groups. …”
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  2. 2
    Table_3_Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methods.XLSX

    Table_3_Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methods.XLSX by Jing Li (10611)

    Published 2023
    “…Then, the lists were put into incremental feature selection method with four classification algorithms to extract essential genes, classification rules and build optimal classifiers. …”
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  3. 3
    Table_1_Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methods.XLSX

    Table_1_Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methods.XLSX by Jing Li (10611)

    Published 2023
    “…Then, the lists were put into incremental feature selection method with four classification algorithms to extract essential genes, classification rules and build optimal classifiers. …”
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  4. 4
    Table_4_Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methods.XLSX

    Table_4_Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methods.XLSX by Jing Li (10611)

    Published 2023
    “…Then, the lists were put into incremental feature selection method with four classification algorithms to extract essential genes, classification rules and build optimal classifiers. …”
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  5. 5
    Table_2_Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methods.XLSX

    Table_2_Identification of dynamic gene expression profiles during sequential vaccination with ChAdOx1/BNT162b2 using machine learning methods.XLSX by Jing Li (10611)

    Published 2023
    “…Then, the lists were put into incremental feature selection method with four classification algorithms to extract essential genes, classification rules and build optimal classifiers. …”
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  6. 6
    Fitting single-cell data to the stochastic model.

    Fitting single-cell data to the stochastic model. by Benjamin D. Maier (13994415)

    Published 2022
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  7. 7
    Table_1_Multivariate piecewise linear regression model to predict radiosensitivity using the association with the genome-wide copy number variation.xlsx

    Table_1_Multivariate piecewise linear regression model to predict radiosensitivity using the association with the genome-wide copy number variation.xlsx by Joanna Tobiasz (11816504)

    Published 2023
    “…</p>Results<p>SF2 ranged between 0.1384 and 0.4860 (mean=0.3273 The DP algorithm provided optimal segmentation by defining batches of radio-sensitive (RS), normally-sensitive (NS), and radio-resistant (RR) responders. …”
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