Graph visualizations encode relationships between objects. Abstracting the objects into
group structures provides an overview of the data. Groups can be disjoint or overlap** …

Background: Cases of excessive neutrophil counts in the blood in severe coronavirus
disease (COVID-19) patients have drawn significant attention. Neutrophil infiltration was …

Graph visualizations encode relationships between objects. Abstracting the objects into
group structures provides an overview of the data. Groups can be disjoint or overlap** …

Sets comprise a generic data model that has been used in a variety of data analysis
problems. Such problems involve analysing and visualizing set relations between multiple …

The G protein–coupled receptor (GPCR) US28 encoded by the human cytomegalovirus
(HCMV) is associated with accelerated progression of glioblastomas, aggressive brain …

Candida albicans biofilm formation is an important virulence factor in the pathogenesis of
disease, a characteristic which has been shown to be heterogeneous in clinical isolates …

This paper presents the first design principles that optimize the visualization of sets using
linear diagrams. These principles are justified through empirical studies that evaluate the …

We introduce the Dynamic Influence Network (DIN), a novel visual analytics technique for
representing and analyzing rule-based models of protein-protein interaction networks. Rule …

Background The interpretation of the results from genome-scale experiments is a
challenging and important problem in contemporary biomedical research. Biological …

A set diagram represents the membership relation among data elements. It is often
visualized as secondary information on top of primary information, such as the spatial …