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MASIF links an array of existing visualization, analytical, and data management software to manage large volumes of model inputs and outputs as well as model execution to facilitate model development and analysis.
Coinciding with the growing number of data sources has been an explosion of visualization, analytical, and hybrid tools, often fueled by the open-source community.
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Andrienko et al. [20] also illustrated the visual analytical approach for visualization of large amount of data.
This makes it a powerful visual analytical tool that combines visualization and interpretation of genome-wide association data with gene expression analysis.
SMAT-CE improves computational efficiency and provides a number of advanced visualization and analytical functionalities on an integrated GIS platform.
When morphometric-specific visualization or analytical routines were not available in the most recent versions of this software, an older Microsoft Windows version of Morpheus et al., written in C++, was used [15].
This newly created approach is expected to contribute to the safety in urban excavation via the integration of Geoinformatics and construction informatics into an uncertainty-aware, geospatial-AR, with real time visualization and analytical capabilities.
The loosely coupled relationships between visualization and analytical data mining (DM) techniques represent the majority of the current state of art in visual data mining; DM modeling is typically an automatic process with very limited forms of guidance from users.
Considering the pivotal role of data quality and the tremendous uncertainty in utility locations, the research hypothesis is that uncertainty, particularly spatial uncertainty, can be brought into the decision-making process in an easy-to-understand manner for both visualization and analytical proximity monitoring to prevent unintended collisions and increase excavation safety.
For visualization and analytical purposes, we used Cytoscape (Shannon et al., 2003), which is a software for network visualization, enriched with a plug-in we developed to enable loading, visualizing and inspecting the three aforementioned objects (compressed networks, stories, anthologies) inside Cytoscape.
Although different tools such as CellNetAnalyzer (Klamt et al., 2007) or the COBRA Toolbox (Becker et al., 2007) provide a variety of constraint-based analysis techniques, these programs mainly focus on model analysis, while model reconstruction and visualization of analytical results are only partly supported.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com