Garry Nolan, PhD, a professor of microbiology and immunology, has developed a novel method for graphically plotting the data generated by analyzing individual cell characteristics.
Model-Based Systems Engineering (MBSE) has emerged as viable method for graphically tracing requirements to design elements, however, additional research is needed on using the resulting views to support decision making.
CA was developed as a method for graphically displaying rows and columns of two-dimensional (later known as multi-dimensional) cross table (pivot tables).
Harvest plots are a novel method for graphically displaying evidence from complex and diverse studies or results, or effects of heterogeneous interventions [ 11].
In the process, we use a method for graphically clustering contigs after NEWBLER assembly that allowed us to identify divergent alleles, alternatively spliced transcripts and gene families.
A well-known method for graphically displaying longitudinal data is the spaghetti plot [ 1] where individual subject's measurements of a repeated outcome are shown chronologically over time.
The latter is a descriptive method for analyzing graphically the pattern of deviations from zero (total agreement) and for determining whether intraobserver differences decrease or not as the average score increases [ 24].
Traditional methods of graphically comparing computational and experimental results, though valuable, are essentially qualitative.
These include a decision tree, a conceptual framework for addressing combined exposures, and a method of graphically presenting the results of the assessments of the risks from combined exposures.
Perspective, method of graphically depicting three-dimensional objects and spatial relationships on a two-dimensional plane or on a plane that is shallower than the original (for example, in flat relief).
