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Showing 61 - 80 results of 16,095 for search '(( algorithm python function ) OR ( algorithm ((a function) OR (gene function)) ))', query time: 1.35s Refine Results
  1. 61
    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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  2. 62
    Root mean square deviation (RMSD) of the backbone atoms of the protein as a function of time.

    Root mean square deviation (RMSD) of the backbone atoms of the protein as a function of time. by L. F. S. Bonet (11502082)

    Published 2021
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  3. 63
    Functional enrichment analysis of DEGs.

    Functional enrichment analysis of DEGs. by Huiling Deng (4427161)

    Published 2022
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  4. 64
    Sparkler plot representation of functional impact of ARAF variants.

    Sparkler plot representation of functional impact of ARAF variants. by Alexis M. Thornton (11068403)

    Published 2021
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  5. 65
    Demonstration of the combinatorial Hill functions (A and B), and the regulation function (C and D) under the regulation of an activator and a repressor.

    Demonstration of the combinatorial Hill functions (A and B), and the regulation function (C and D) under the regulation of an activator and a repressor. by Ruihao Li (2908991)

    Published 2023
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  6. 66
    Functional enrichment analysis of hub genes.

    Functional enrichment analysis of hub genes. by Tingting Liu (267387)

    Published 2025
    “…<p>(A) Hub genes were selected using the MCC algorithm. …”
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  7. 67
    Highly interrelated genes and their biological functions among 21 cancers.

    Highly interrelated genes and their biological functions among 21 cancers. by Qunlun Shen (11668968)

    Published 2021
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  8. 68
    Comparison of algorithms in two cases.

    Comparison of algorithms in two cases. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  9. 69
    Flow of the NSGA-II algorithm.

    Flow of the NSGA-II algorithm. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  10. 70
    Multimodal reference functions.

    Multimodal reference functions. by Ruiyu Zhan (21602031)

    Published 2025
    “…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …”
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  11. 71
    Empirical cumulative distribution functions for DMCs.

    Empirical cumulative distribution functions for DMCs. by Koyel Majumdar (20416871)

    Published 2024
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  12. 72
    miRNA target identification and prediction as a function of time in gene expression data

    miRNA target identification and prediction as a function of time in gene expression data by Pranas Grigaitis (7116143)

    Published 2020
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  13. 73
    Functional enrichment analysis.

    Functional enrichment analysis. by Junjie Su (368807)

    Published 2025
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  14. 74
    Functional examination of the 6 key significant genes found in modules 1 and 2.

    Functional examination of the 6 key significant genes found in modules 1 and 2. by Ravinder Sharma (13154079)

    Published 2024
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  15. 75
    Key gene identification based on two machine learning algorithms.

    Key gene identification based on two machine learning algorithms. by Lijun Guo (605276)

    Published 2025
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  16. 76
    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, the temporal molecular states <i>n</i> at specific time <i>t</i> will be generated for further visualization.

    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

    Published 2025
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  17. 77
    Functional enrichment analysis of 24 differentially expressed aging-related genes.

    Functional enrichment analysis of 24 differentially expressed aging-related genes. by Yong Zhou (23772)

    Published 2023
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  18. 78
    Parameters setting of function mining experiment.

    Parameters setting of function mining experiment. by Jin Ding (11522)

    Published 2023
    “…<div><p>Gene expression programming (GEP) is one of the most prominent algorithms in function mining. …”
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  19. 79
    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers.

    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  20. 80
    Functional validation of the metastasis-predictive genes inferred by PLUS from TCGA data.

    Functional validation of the metastasis-predictive genes inferred by PLUS from TCGA data. by Junyi Zhou (495644)

    Published 2022
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