To help experts investigate mind wanderings, we present a graph-based approach for visual analytics of eye-tracking data, which utilizes the graph representations to illustrate the reading patterns and further help experts detect and verify mind wanderings based on the graph structures and other graph attributes.
Graphs are crucial tools for visual analytics of big data networks such as social, biological, traffic and security networks.
Here, we use the same aggregation strategy as iHat (Heinrich et al., 2012), our previously published prototype tool for visual analytics of GWASs.
Gene neighborhood analysis combined with visual analytics of chemical ligand binding sites data provided knowledge-building biological insights on possible cellular functions of B. megaterium universal stress proteins.
Gene neighborhood analysis (Figs. 1 and 2) combined with visual analytics of chemical ligand binding sites data (Fig. 3) provided knowledge-building insights on possible cellular functions of B. megaterium universal stress proteins.
In this paper, we introduce a process data analysis solution that integrates the technologies of situation awareness and visual analytics for the routine monitoring and troubleshooting of roller hearth kiln (RHK), a complex key manufacturing facility for lithium battery cathode materials.
Scaffold Hunter enables the user to explore chemical datasets following the concepts of visual analytics, which is the science of analytical reasoning facilitated by interactive visual interfaces [30].
We provide a conceptual introduction to time-varying graphs and various components of the visual analytics that affect the performance of decision support systems, including data management, analytics, visualization, and visual interaction.
Despite recent advances in the generation and processing of high-throughput proteomics and transcriptomics data, the availability of visual analytics tools for the purposes of studying genome annotation, as well as the integration and exploration of these data streams in concert, remains a challenge.
Two visual analytic representations of the cell viability data are presented in Figures 1 and 2. Figure 1 presents a time course for each dose, whereas Figure 2 presents a view comparing the exposure types for each time point and concentration.
