Showing 1 - 20 results of 41 for search 'multiplex networks interaction algorithm', query time: 0.20s Refine Results
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    DataSheet2_Integrating digital pathology with transcriptomic and epigenomic tools for predicting metastatic uterine tumor aggressiveness.docx by Giorgia Sonzini (14137572)

    Published 2022
    “…Reticulin fiber scaffolding was characterized by a large and loose reticular fiber network in uADC, while dense bundles were found in uLMS. …”
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    DataSheet1_Integrating digital pathology with transcriptomic and epigenomic tools for predicting metastatic uterine tumor aggressiveness.docx by Giorgia Sonzini (14137572)

    Published 2022
    “…Reticulin fiber scaffolding was characterized by a large and loose reticular fiber network in uADC, while dense bundles were found in uLMS. …”
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    Table2_Integrating digital pathology with transcriptomic and epigenomic tools for predicting metastatic uterine tumor aggressiveness.docx by Giorgia Sonzini (14137572)

    Published 2022
    “…Reticulin fiber scaffolding was characterized by a large and loose reticular fiber network in uADC, while dense bundles were found in uLMS. …”
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    DataSheet5_Integrating digital pathology with transcriptomic and epigenomic tools for predicting metastatic uterine tumor aggressiveness.csv by Giorgia Sonzini (14137572)

    Published 2022
    “…Reticulin fiber scaffolding was characterized by a large and loose reticular fiber network in uADC, while dense bundles were found in uLMS. …”
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    Table3_Integrating digital pathology with transcriptomic and epigenomic tools for predicting metastatic uterine tumor aggressiveness.docx by Giorgia Sonzini (14137572)

    Published 2022
    “…Reticulin fiber scaffolding was characterized by a large and loose reticular fiber network in uADC, while dense bundles were found in uLMS. …”
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    DataSheet4_Integrating digital pathology with transcriptomic and epigenomic tools for predicting metastatic uterine tumor aggressiveness.csv by Giorgia Sonzini (14137572)

    Published 2022
    “…Reticulin fiber scaffolding was characterized by a large and loose reticular fiber network in uADC, while dense bundles were found in uLMS. …”
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    DataSheet3_Integrating digital pathology with transcriptomic and epigenomic tools for predicting metastatic uterine tumor aggressiveness.csv by Giorgia Sonzini (14137572)

    Published 2022
    “…Reticulin fiber scaffolding was characterized by a large and loose reticular fiber network in uADC, while dense bundles were found in uLMS. …”
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    Table1_Integrating digital pathology with transcriptomic and epigenomic tools for predicting metastatic uterine tumor aggressiveness.docx by Giorgia Sonzini (14137572)

    Published 2022
    “…Reticulin fiber scaffolding was characterized by a large and loose reticular fiber network in uADC, while dense bundles were found in uLMS. …”
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    Bayesian Shrinkage for Functional Network Models, With Applications to Longitudinal Item Response Data by Jaewoo Park (4639744)

    Published 2022
    “…Studying the time-varying relationships between items is crucial for educational assessment or designing marketing strategies from survey questions. Although dynamic network models have been widely developed, we cannot apply them directly to item response data because there are multiple systems of nodes with various types of local interactions among items, resulting in multiplex network structures. …”
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    Similarity in social network position, physical environment, microbiota, brain gene expression, behavior, and age. by Tomas Kay (5614826)

    Published 2023
    “…<p>(<b>A</b>) A 5-layer multiplex network constructed from behavior, brain gene expression, microbiota, the physical environment, and social interactions. …”