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Showing 1 to 3 of 3 for “"disease network"”.

  1. Exploiting Structure Information for Network Dissimilarity Characterization - Application to Disease Network Analysis and Treatment Prediction

    Most cancers lack effective early disease markers, prognostic and predictive signatures, primarily due to tumor heterogeneity. As a result, we fail treating cancer heterogeneity due to multiple ways cancer initiates and develops treatment resistance. Models that represent these differences and the …

    york Repository record for Exploiting Structure Information for Network Dissimilarity Characterization - Application to Disease Network Analysis and Treatment Prediction (opens in a new tab)

  2. Joint clustering of hospitals based on their adminission behavior for different diseases using network of networks data model

    … based on their admission behavior for specific diseases provides a more precise approach than clustering them based on their overall admission patterns across all diagnoses. This study aims to jointly cluster hospitals based on their admission behavior for different diseases. To achieve this, …

    temple Repository record for Joint clustering of hospitals based on their adminission behavior for different diseases using network of networks data model (opens in a new tab)

  3. A Fast-Graph Approach to Modeling Similarity of Whole Genomes

    … datasets stemming from globally distributed disease occurrences. This offers an unprecedented opportunity for epidemiological studies and the development of computationally efficient, robust tools for such studies. In the second stage of our research, we present an approach that enables a …

    unr Repository record for A Fast-Graph Approach to Modeling Similarity of Whole Genomes (opens in a new tab)