The Shivplot: A New Graphical Tool for Microarray Data Analysis
Author Information
Author(s): Woody Owen, Robert Nadon
Primary Institution: McGill University and Genome Quebec Innovation Centre
Hypothesis
Can a new graphical method improve the analysis and interpretation of microarray data?
Conclusion
The shivplot effectively combines multiple graphical representations to enhance the analysis of microarray data.
Supporting Evidence
- The shivplot retains all the information of its precursor plots while conserving space.
- It minimizes redundancy and highlights features of the data that are difficult to appreciate from individual displays.
- The shivplot is applicable to any replicated high-throughput data set.
Takeaway
The shivplot is a new type of graph that helps scientists understand complex data from experiments better by showing different pieces of information all at once.
Methodology
The shivplot combines boxplots, density plots, and variability vs intensity plots into a single graphical representation.
Limitations
The study does not specify limitations regarding the shivplot's application to other types of data beyond microarrays.
Digital Object Identifier (DOI)
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