Visualization of links to phenotypes offered in PhenoLink allows prioritizing links, finding relations between features, finding relations between phenotypes, and identifying outliers in phenotype data.
An interactive 3D visualization approach links parametric shape grammars for the design of generative urban patterns and the reporting of urban ecosystem services.
It is a tool with enhanced visualization of links to phenotypes, is more accurate than correlation-based method and less resource-intensive than Bayesian-based methods.
In this paper, the concept and architecture of the system as well as functional components, such as image processing, visualization, storage, linking and personalization mechanisms, will be presented.
Such an embedded visualization is linked with every selection, thus providing a possibility to annotate selected data subsets.
Based on a z-statistic, a raw p-value was derived for each functional class link and used for the visualization of functional links in the association matrix.
How to anchor parts of such spatial visualizations and link them to their related time series curves, geographic visualizations, or data views comprise the new domain we want to explore.
These additional visualizations are linked with the activated selections.
Likewise, iteratively superimposing three out of the N images or even all images to obtain RGB fusion images is not feasible for protein network identification since an observer would need to analyze a number of N!/(3!(N−3)!) visualizations and link the results obtained for each image triplet, which is impossible for human observers.
Xlink Analyzer enables automatic visualization of cross-links, identifies cross-links violating spatial restraints, calculates violation statistics, maps chemically modified surfaces, and allows interactive manipulations that facilitate analysis of XL-MS data and aid designing new experiments.
First, ViVA directly links visualization with variance structure models, permitting interactive visual exploration of natural models in a large database.
