Loading the data initiates the interactive visualization tab of the dashboard (Fig. ). The leftmost panel contains the t-SNE embedding of the spectral similarity matrix, which serves as both a global data view and an exploratory analysis medium. Node sizes encode feature-specific statistical mappings in the form of either feature-specific p-value contributions from globaltest, or log-2 fold changes (absolute) for the contrast in question. Dropdown menus allow toggling between measures displayed and contrasts. Users may hover over nodes to receive node information (e.g., node identifier, group identifier), and click to receive node details including featurespecific and group-specific statistics results, as well as local topology via edge overlays giving a glimpse into the top-K neighbors of the feature. Edge overlays make use of a discrete similarity mapping allowing quick assessment of similarity, while quantitative similarity score labels provide more precise information. Clicking successively on different nodes adds additional edge overlays until a click on the empty canvas is used to reset edge overlays. In this way, focused local node neighborhoods can be explored easily without causing computational bottlenecks or visual overload. In addition to the t-SNE embedding, the tool allows the user to make use of iterations of force-directed layout stabilization to mitigate overlapping nodes caused by the t-SNE embedding. To assist group-based prioritization, the network view is supported by a connected heatmap representation of group-level statistics which provides a quick reference to groups with statistically significant deviations for the different selected contrasts. Clicking on a group entry in the heatmap highlights the respective group in the t-SNE embedding.