Abstract: A standard approach for visualizing multivariate networks is to use one or more multidimensional views (for example, scatterplots) for selecting nodes by various metrics, possibly ...
Abstract: To verify cluster separation in high-dimensional data, analysts often reduce the data with a dimension reduction (DR) technique, and then visualize it with 2D Scatterplots, interactive 3D ...
Scatterplots are powerful visual tools used to explore the relationship between two continuous variables. They allow us to identify patterns, trends, and potential correlations, providing valuable ...
Objective: Most methods to detect copy number variation (CNV) have high false positive rates, especially for small CNVs and in real-life samples from clinical studies. In this study, we explored a ...
For the drug regimens, it seems that the mice treated with Capomulin and Ramicane were treated more times than the other treatments. The mice trials were well-balnaced by gender. The biggest takeaway ...
Background and Aim: Therapeutic drug monitoring (TDM) has evolved over the years as an important tool for personalized medicine. Nevertheless, some limitations are associated with traditional TDM.
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