Publications by authors named "Alex Bick"
Article Synopsis
- Understanding complex networked multivariate associations is crucial in high-dimensional analysis, but traditional visualizations like heatmaps become overwhelming as the dataset size increases.
- The authors introduce "associationSubGraphs," an interactive visualization tool that uses network percolation and clustering to help users explore high-dimensional association datasets effectively, highlighting stronger associations among variable subsets.
- An R package and online platform for using associationSubGraphs is available, allowing users to access documentation and a live demo focused on multimorbidity associations derived from health records.
Two Letters to address the risks of COVID-19 in populations with precursors of hematological disease. In the first article, Miller and colleagues report on whether clonal hematopoiesis of intermediate potential (CHIP) is associated with adverse outcomes with COVID-19, finding no association between CHIP and 28-day mortality while providing data indirectly linking IL-6 signaling and patient outcomes. In the second article, Ho and colleagues investigate the outcomes of patients with monoclonal gammopathy of undetermined significance (MGUS) with COVID-19, reporting that one-fourth had a severe infection and that on multivariable analysis, adverse outcomes are more likely if immunoparesis is present.
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