h-Profile Plots for Gene Expression Data
Author Information
Author(s): Yvonne E Pittelkow, Susan R Wilson
Primary Institution: Mathematical Sciences Institute, Australian National University
Hypothesis
Can h-Profile plots effectively visualize gene expression profiles to identify co-regulated genes?
Conclusion
h-Profile plots are valuable tools for visualizing gene expression data and identifying genes with similar or reversed profiles.
Supporting Evidence
- h-Profile plots allow simultaneous visualization of many gene expression profiles.
- The method helps identify genes with similar or reversed profiles.
- The study demonstrates the application of h-Profile plots on cell cycle data.
Takeaway
This study shows a new way to look at gene data that helps scientists find genes that work together or have opposite effects.
Methodology
The study introduces h-Profile plots to visualize gene expression profiles and demonstrates their application on time course data.
Limitations
The study does not address simultaneous hypothesis testing and the effects of different transformations on gene expression data.
Digital Object Identifier (DOI)
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