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codon optimization » wolf optimization (Expand Search)
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Showing 1 - 20 results of 35 for search '(( binary data codon optimization algorithm ) OR ( intra sample based optimization algorithm ))', query time: 0.42s Refine Results
  1. 1
    GeneScan profiles of human peripheral blood samples.

    GeneScan profiles of human peripheral blood samples. by Nika Abdollahi (4966120)

    Published 2022
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  2. 2
    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.

    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

    Published 2024
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  3. 3
    Performance on the oligoclonal repertoire O16.

    Performance on the oligoclonal repertoire O16. by Nika Abdollahi (4966120)

    Published 2022
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  4. 4
    Performance on the polyclonal repertoire P46.

    Performance on the polyclonal repertoire P46. by Nika Abdollahi (4966120)

    Published 2022
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  5. 5
    Performance on the monoclonal repertoire M36.

    Performance on the monoclonal repertoire M36. by Nika Abdollahi (4966120)

    Published 2022
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  6. 6
    Performance on the polyclonal repertoire P26.

    Performance on the polyclonal repertoire P26. by Nika Abdollahi (4966120)

    Published 2022
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  7. 7
    Performance on the monoclonal repertoire M26.

    Performance on the monoclonal repertoire M26. by Nika Abdollahi (4966120)

    Published 2022
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  8. 8
    Performance on the oligoclonal repertoire O26.

    Performance on the oligoclonal repertoire O26. by Nika Abdollahi (4966120)

    Published 2022
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  9. 9
    Performance on the monoclonal repertoire M16.

    Performance on the monoclonal repertoire M16. by Nika Abdollahi (4966120)

    Published 2022
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  10. 10
    Performance on the polyclonal repertoire P36.

    Performance on the polyclonal repertoire P36. by Nika Abdollahi (4966120)

    Published 2022
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  11. 11
    Performance on the monoclonal repertoire M46.

    Performance on the monoclonal repertoire M46. by Nika Abdollahi (4966120)

    Published 2022
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  12. 12
    Performance on the oligoclonal repertoire O36.

    Performance on the oligoclonal repertoire O36. by Nika Abdollahi (4966120)

    Published 2022
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  13. 13
    Performance on the oligoclonal repertoire O46.

    Performance on the oligoclonal repertoire O46. by Nika Abdollahi (4966120)

    Published 2022
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  14. 14
    Properties of nine experimental repertoires.

    Properties of nine experimental repertoires. by Nika Abdollahi (4966120)

    Published 2022
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  15. 15
    Performance on the polyclonal repertoire P16.

    Performance on the polyclonal repertoire P16. by Nika Abdollahi (4966120)

    Published 2022
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  16. 16
    Performance of different parameter configurations.

    Performance of different parameter configurations. by Nika Abdollahi (4966120)

    Published 2022
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  17. 17
    Clonal distribution of healthy donors and patients with moderate/severe COVID-19.

    Clonal distribution of healthy donors and patients with moderate/severe COVID-19. by Nika Abdollahi (4966120)

    Published 2022
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  18. 18
    Performance comparison on artificial monoclonal repertoires.

    Performance comparison on artificial monoclonal repertoires. by Nika Abdollahi (4966120)

    Published 2022
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  19. 19
    Image 1_Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment.tif

    Image 1_Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment.tif by Chuanyu Ma (6701108)

    Published 2025
    “…The ITH-score of PRAD samples was evaluated using the DEPTH algorithm. The optimal cut-off value of RiskScore was calculated based on the difference in survival curves, and PRAD patients were classified into high ITH and low ITH groups based on the optimal cut-off value. …”
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  20. 20
    Image 8_Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment.png

    Image 8_Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment.png by Chuanyu Ma (6701108)

    Published 2025
    “…The ITH-score of PRAD samples was evaluated using the DEPTH algorithm. The optimal cut-off value of RiskScore was calculated based on the difference in survival curves, and PRAD patients were classified into high ITH and low ITH groups based on the optimal cut-off value. …”
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