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property optimization » process optimization (Expand Search), policy optimization (Expand Search), robust optimization (Expand Search)
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Showing 21 - 40 results of 239 for search '(( binary basic property optimization algorithm ) OR ( lines based cell optimization algorithm ))', query time: 0.67s Refine Results
  1. 21
    Table3_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX

    Table3_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX by ShiJian Ding (11764646)

    Published 2021
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  2. 22
    Table4_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX

    Table4_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX by ShiJian Ding (11764646)

    Published 2021
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  3. 23
    Summary of AUC values across all combinations of subsampling scenario and algorithm.

    Summary of AUC values across all combinations of subsampling scenario and algorithm. by Sofia P. Miranda (11418930)

    Published 2021
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  4. 24
    Table1_Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization.DOCX

    Table1_Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization.DOCX by Åsmund Flobak (789984)

    Published 2023
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  5. 25
    Correlation between predicted drug responses based on GDSC cell lines and recorded clinical responses in TCGA patients for selected combinations of subsampling scenarios and algorithms across all drugs.

    Correlation between predicted drug responses based on GDSC cell lines and recorded clinical responses in TCGA patients for selected combinations of subsampling scenarios and algori... by Sofia P. Miranda (11418930)

    Published 2021
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  6. 26
    Descriptions of the algorithms we tested and hyperparameters that we evaluated via nested cross validation.

    Descriptions of the algorithms we tested and hyperparameters that we evaluated via nested cross validation. by Sofia P. Miranda (11418930)

    Published 2021
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  7. 27
    Minimum, mean and maximum RMSE value for each drug and algorithm combination, averaged across all subsampling scenarios.

    Minimum, mean and maximum RMSE value for each drug and algorithm combination, averaged across all subsampling scenarios. by Sofia P. Miranda (11418930)

    Published 2021
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  8. 28
    Minimum, mean and maximum AUC value for each combination of drug and algorithm, averaged across all subsampling scenarios.

    Minimum, mean and maximum AUC value for each combination of drug and algorithm, averaged across all subsampling scenarios. by Sofia P. Miranda (11418930)

    Published 2021
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  9. 29
    Optimization parameters for the three treatment plans performed for the homogeneous and heterogeneous phantoms.

    Optimization parameters for the three treatment plans performed for the homogeneous and heterogeneous phantoms. by Masashi Yagi (3186909)

    Published 2023
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  10. 30
    Histograms for each drug based on drug response (IC<sub>50</sub> values) for the GDSC dataset.

    Histograms for each drug based on drug response (IC<sub>50</sub> values) for the GDSC dataset. by Sofia P. Miranda (11418930)

    Published 2021
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  11. 31
    Distribution and survival based cutoff optimization for proportion of D2-40 stained sinus with respect to overall survival by “Cutoff Finder” algorithm.

    Distribution and survival based cutoff optimization for proportion of D2-40 stained sinus with respect to overall survival by “Cutoff Finder” algorithm. by Christina C. Westhoff (14498351)

    Published 2023
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  12. 32
    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the WC algorithm in homogeneous and heterogeneous phantom.

    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the WC algorithm in homogeneous and heterogeneous phantom. by Masashi Yagi (3186909)

    Published 2023
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  13. 33
    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the SC algorithm in homogeneous and heterogeneous phantoms.

    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the SC algorithm in homogeneous and heterogeneous phantoms. by Masashi Yagi (3186909)

    Published 2023
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  14. 34
    Single diode equivalent circuit of a solar cell.

    Single diode equivalent circuit of a solar cell. by Rana Ahmed (4923127)

    Published 2024
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  15. 35
    Graphs for Docetaxel classification analysis.

    Graphs for Docetaxel classification analysis. by Sofia P. Miranda (11418930)

    Published 2021
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  16. 36
    Example of subsampling process.

    Example of subsampling process. by Sofia P. Miranda (11418930)

    Published 2021
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  17. 37
    Graphs for Paclitaxel classification analysis.

    Graphs for Paclitaxel classification analysis. by Sofia P. Miranda (11418930)

    Published 2021
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  18. 38
    Graphs for Gemcitabine regression analysis.

    Graphs for Gemcitabine regression analysis. by Sofia P. Miranda (11418930)

    Published 2021
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  19. 39
    Graphs for Etoposide classification analysis.

    Graphs for Etoposide classification analysis. by Sofia P. Miranda (11418930)

    Published 2021
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  20. 40
    Graphs for Paclitaxel regression analysis.

    Graphs for Paclitaxel regression analysis. by Sofia P. Miranda (11418930)

    Published 2021
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