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Showing 101 - 120 results of 16,275 for search '(((( algorithms a function ) OR ( algorithm cells function ))) OR ( algorithm python function ))', query time: 0.92s Refine Results
  1. 101
    Accuracy as a function of the rate of learning.

    Accuracy as a function of the rate of learning. by Arun Kumar M. (13871050)

    Published 2022
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  2. 102
    Gene function enrichment analysis: GO function enrichment analysis (A) and KEGG pathway enrichment analysis (B).

    Gene function enrichment analysis: GO function enrichment analysis (A) and KEGG pathway enrichment analysis (B). by Yaling Hu (11648397)

    Published 2021
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  3. 103
    Top-ranked hub genes identified by 5 cytoHubba algorithms.

    Top-ranked hub genes identified by 5 cytoHubba algorithms. by Jun Li (6494)

    Published 2025
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  4. 104
    The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  5. 105
    The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  6. 106
    The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  7. 107
    The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs.

    The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

    Published 2025
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  8. 108
    Percentage of transcript ineligibility as a function of context size.

    Percentage of transcript ineligibility as a function of context size. by Tariq Daouda (8300553)

    Published 2021
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  9. 109
    Immune infiltration analysis by ssGSEA algorithm.

    Immune infiltration analysis by ssGSEA algorithm. by Yubin Xue (1537042)

    Published 2025
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  10. 110
    Immune infiltration analysis by CIBERSORT algorithm.

    Immune infiltration analysis by CIBERSORT algorithm. by Lanying Shen (22755930)

    Published 2025
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  11. 111
    Immune infiltration analysis by CIBERSORT algorithm.

    Immune infiltration analysis by CIBERSORT algorithm. by Lanying Shen (22755930)

    Published 2025
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  12. 112
    Application of the smooth-index algorithm to the single-column connectome of the Drosophila optic lobe.

    Application of the smooth-index algorithm to the single-column connectome of the Drosophila optic lobe. by Alexander Borst (32619)

    Published 2024
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  13. 113
    Comparison of the smooth-index (‘SI’) algorithm with feedback arc set (‘FAS’) sorting.

    Comparison of the smooth-index (‘SI’) algorithm with feedback arc set (‘FAS’) sorting. by Alexander Borst (32619)

    Published 2024
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  14. 114
    Performance of ENQUIRE’s gene normalization algorithm.

    Performance of ENQUIRE’s gene normalization algorithm. by Luca Musella (19986312)

    Published 2025
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  15. 115
    Wilcoxon p-value of the en-CSA vs baseline algorithms for CEC2020.

    Wilcoxon p-value of the en-CSA vs baseline algorithms for CEC2020. by Sarah A. Alzakari (19704611)

    Published 2024
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  16. 116
    The details of the Scelestial algorithm.

    The details of the Scelestial algorithm. by Mohammad-Hadi Foroughmand-Araabi (6658772)

    Published 2022
    “…<p>The inputs to the Scelestial algorithm are a) a set of sequences <i>S</i>, b) the degree of restriction of the restricted Steiner tree <i>k</i>. …”
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  17. 117
    DataSheet1_Mathematical algorithm–based identification of the functional components and mechanisms in depression treatment: An example of Danggui-Shaoyao-San.docx

    DataSheet1_Mathematical algorithm–based identification of the functional components and mechanisms in depression treatment: An example of Danggui-Shaoyao-San.docx by Wenxia Gong (13277883)

    Published 2022
    Subjects: “…Cell Biology…”
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  18. 118
    The GOR4 and SOPMA algorithm findings.

    The GOR4 and SOPMA algorithm findings. by Ahmad Abdullah Mahdeen (19704401)

    Published 2024
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  19. 119
    Table_2_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.DOC

    Table_2_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.DOC by Ledycnarf J. Holanda (10761786)

    Published 2021
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  20. 120
    Table_1_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.DOCX

    Table_1_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.DOCX by Ledycnarf J. Holanda (10761786)

    Published 2021
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