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estimation algorithm » optimization algorithms (Expand Search), maximization algorithm (Expand Search), detection algorithm (Expand Search)
codon optimization » wolf optimization (Expand Search)
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based pose » based case (Expand Search), based probes (Expand Search)
Showing 1 - 8 results of 8 for search '(( binary _ codon optimization algorithm ) OR ( genes based pose estimation algorithm ))', query time: 0.34s Refine Results
  1. 1
    The WormPose pipeline.

    The WormPose pipeline. by Laetitia Hebert (9553480)

    Published 2021
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  2. 2
    Estimation error of candidate methods with a threshold of 0.1, showing how estimation error varies with sample size.

    Estimation error of candidate methods with a threshold of 0.1, showing how estimation error varies with sample size. by Lulu Pan (8977979)

    Published 2025
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  3. 3
    Estimation error of candidate methods with a threshold of 0.05.

    Estimation error of candidate methods with a threshold of 0.05. by Lulu Pan (8977979)

    Published 2025
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  4. 4
    Estimation error of candidate methods with a threshold of 0.1.

    Estimation error of candidate methods with a threshold of 0.1. by Lulu Pan (8977979)

    Published 2025
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  5. 5
    Estimation error of candidate methods with a threshold of 0.1.

    Estimation error of candidate methods with a threshold of 0.1. by Lulu Pan (8977979)

    Published 2025
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  6. 6
    Estimation error of candidate methods with a threshold of 0.15.

    Estimation error of candidate methods with a threshold of 0.15. by Lulu Pan (8977979)

    Published 2025
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  7. 7
    Estimation error of candidate methods with a threshold of 0.1.

    Estimation error of candidate methods with a threshold of 0.1. by Lulu Pan (8977979)

    Published 2025
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  8. 8
    Optimal use of statistical methods to validate reference gene stability in longitudinal studies

    Optimal use of statistical methods to validate reference gene stability in longitudinal studies by Venkat Krishnan Sundaram (7026989)

    Published 2019
    “…<div><p>Multiple statistical approaches have been proposed to validate reference genes in qPCR assays. However, conflicting results from these statistical methods pose a major hurdle in the choice of the best reference genes. …”
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