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Showing 41 - 60 results of 7,285 for search '(( algorithm link function ) OR ((( algorithm python function ) OR ( algorithm gene function ))))', query time: 0.77s Refine Results
  1. 41
    Analysis Results of Mitophagy Genes Based on Multi-Omics.

    Analysis Results of Mitophagy Genes Based on Multi-Omics. by Jie Chu (293795)

    Published 2025
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  2. 42
    LASSO-Cox Regression Analysis to Screen Prognosis-Related Genes.

    LASSO-Cox Regression Analysis to Screen Prognosis-Related Genes. by Jie Chu (293795)

    Published 2025
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  3. 43
    GSEA Analysis of Differentially Expressed Genes in High and Low-Risk Groups.

    GSEA Analysis of Differentially Expressed Genes in High and Low-Risk Groups. by Jie Chu (293795)

    Published 2025
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  4. 44
    GSVA analysis of differentially expressed genes in high and low risk groups.

    GSVA analysis of differentially expressed genes in high and low risk groups. by Jie Chu (293795)

    Published 2025
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  5. 45
    Details of path flows and path travel times by the proposed algorithms.

    Details of path flows and path travel times by the proposed algorithms. by C. K. Wong (3224922)

    Published 2019
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  6. 46
    Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways.

    Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways. by Alexis M. Thornton (11068403)

    Published 2021
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  7. 47
    GO/KEGG Enrichment Analysis of Differentially Expressed Genes in High and Low-Risk Groups.

    GO/KEGG Enrichment Analysis of Differentially Expressed Genes in High and Low-Risk Groups. by Jie Chu (293795)

    Published 2025
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  8. 48
    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. 49
    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. 50
    Data_Sheet_1_Comparative Analysis of Unsupervised Protein Similarity Prediction Based on Graph Embedding.ZIP

    Data_Sheet_1_Comparative Analysis of Unsupervised Protein Similarity Prediction Based on Graph Embedding.ZIP by Yuanyuan Zhang (101797)

    Published 2021
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  11. 51
    Data_Sheet_2_Comparative Analysis of Unsupervised Protein Similarity Prediction Based on Graph Embedding.ZIP

    Data_Sheet_2_Comparative Analysis of Unsupervised Protein Similarity Prediction Based on Graph Embedding.ZIP by Yuanyuan Zhang (101797)

    Published 2021
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  12. 52
    Data_Sheet_3_Comparative Analysis of Unsupervised Protein Similarity Prediction Based on Graph Embedding.docx

    Data_Sheet_3_Comparative Analysis of Unsupervised Protein Similarity Prediction Based on Graph Embedding.docx by Yuanyuan Zhang (101797)

    Published 2021
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  13. 53
    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data

    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

    Published 2022
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  14. 54
    An expectation-maximization algorithm for finding noninvadable stationary states.

    An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

    Published 2020
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  15. 55
    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements

    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

    Published 2021
    “…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”
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  16. 56
    Structure of the randomized vector functional link network.

    Structure of the randomized vector functional link network. by Emad T. Elkabbash (11731506)

    Published 2021
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  17. 57
    Table 2 - Utilizing Multi-omics analysis to elucidate the role of mitochondrial gene defects in Gastric cancer progression

    Table 2 - Utilizing Multi-omics analysis to elucidate the role of mitochondrial gene defects in Gastric cancer progression by Jie Chu (293795)

    Published 2025
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  18. 58
    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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  19. 59
    Maximum values of overlapping normalized mutual information (LFK) producced by clustering algorithms.

    Maximum values of overlapping normalized mutual information (LFK) producced by clustering algorithms. by Alexander Ponomarenko (3163383)

    Published 2021
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  20. 60
    Gene Ontology (GO) terms in the two modules.

    Gene Ontology (GO) terms in the two modules. by Ravinder Sharma (13154079)

    Published 2024
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