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Big data analytics research applies machine learning, data mining, statistics, and visualization techniques in order to collect, process, analyze, visualize, and interpret results [1].
To help researchers to visualize and interpret integrated genomics data, we present a novel visualization method and bioinformatics software tool called FORG3D that is based on real-time three-dimensional force-directed graphs.
To help researchers to visualize and interpret genome scale biology data, we present a novel visualization method that is based on real-time three-dimensional force-directed graphs that can be used in discovery of novel knowledge from the data.
Other advantages over InterViewer, GEOMI and BioLayout Express 3D include the ability to assign custom properties (both visual and physical) to individual nodes and edges, making it easier to visualize and interpret large amounts of information.
The team has built incredibly popular interactive maps to visualize and interpret complex voting data.
As shown in the example, Metascape results are relatively simple to visualize and interpret (Fig. 2g, h).
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There are also many techniques for visualizing and interpreting learned weights of (especially convolutional) neural networks such as guided backpropagation (e.g. guided backpropagation).
Now her research visualizing and interpreting data reliably is becoming increasingly important as more fields are producing vast amounts of data.
Hence, the loadings can be visualized and interpreted on a molecular level as pseudo 2D spectra in order to identify potential biomarkers.
The purpose of our work was to develop heuristics for visualizing and interpreting gene-environment interactions (GEIs) and to assess the dependence of candidate visualization metrics on biological and study-design factors.
The influence of Helmholtz-Smoluchowski velocity (characteristic electro-osmotic velocity), couple stress length parameter (measure of the polarity of the fluid), Hartmann magnetic number, and electro-osmotic parameter on axial velocity, volumetric flow rate, time-averaged flow rate and streamline distribution are visualized and interpreted at length.
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