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The analyzed data was visualized using Integrated Genome Brower [ 51] for each cell line.
Data was visualized using Cytoscape ver. 3.6.179.
The themes and concepts were sorted into three broad categories: Affect, Behaviour, and Cognition (ABC), and the data was visualized in semantic maps.
Data was visualized in a connectogram, and both structural connectivity and metrics were studied in regions surrounding lesions.
In this study the data was visualized as two-dimensional graphs using the Gephi [85] software utilizing force-directed algorithms [86, 87].
Microarray data was visualized and normalized using Genespring GX 7.3 software (Agilent).
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Using different transformation methods, data are visualized by using the geospatial map, time series curves, and pixel-oriented visualizations.
Peaks were called using MACS44 (version 2.1.1) with FDR = 0.01, and data were visualized using IGV45 (version 2.4).
The multivariate dielectric spectral data were visualized with principal component analysis (PCA).
At the same time, by reducing the amount of data being visualized, they will be able to see phenomena they would otherwise be unable to see.
Data is visualized in HTML5.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com