Selected article for: "correlation distance and hierarchical clustering"

Author: Nophar Geifman; Anthony D Whetton
Title: A consideration of publication-derived immune-related associations in Coronavirus and related lung damaging diseases
  • Document date: 2020_4_18
  • ID: j0pfz0pd_12
    Snippet: In order to examine disease similarities based on cytokine or cell-type co-occurrences in the context of Coronavirus or SARS, we set out to cluster these patterns of co-occurrences in the literature. To do so, a quantitative cytokine-disease or cell-disease matrix was generated by obtaining, for each disease and cytokine/cell in the data, a count of the number of records mapped to that disease and that cytokine/cell. Using these matrices as input.....
    Document: In order to examine disease similarities based on cytokine or cell-type co-occurrences in the context of Coronavirus or SARS, we set out to cluster these patterns of co-occurrences in the literature. To do so, a quantitative cytokine-disease or cell-disease matrix was generated by obtaining, for each disease and cytokine/cell in the data, a count of the number of records mapped to that disease and that cytokine/cell. Using these matrices as input, hierarchical clustering was performed using (1-correlation) as the distance measure.

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