LSDViz: A Visualization of Longitudinal Signaling Dynamics

In the field of systems biology, researchers attempt to study and model the interactions of biological entities (e.g., molecules, proteins, cells, etc.) to discover emergent behaviors that result from an interconnected network of these entities. Thus, the data sets involved are almost always multi-scale in nature, containing information about individual entities and emergent population behavior. To facilitate the exploration of these data sets, we introduce an interactive tool with extensive brushing and linking supplemented with zooming capabilities to enable researchers to rapidly assess the quality of data and further analyze their data set. In addition, the tool also supports sorting and filtering by variables of interest. To validate our tool, we present case studies and conclude with a discussion of future work.