Analysis of Multiple Probes for the Same Gene in Microarrays
Author Information
Author(s): Yedid Elbez, Shlomit Farkash-Amar, Itamar Simon
Primary Institution: Faculté des Sciences de la vie, Université Louis Pasteur
Hypothesis
What is the concordance between multiple probe sets measuring the same gene on the Affymetrix U133a GeneChip?
Conclusion
The study provides a comprehensive list of correlations between probe sets for the same gene, helping users identify which measurements can be combined and which should be treated individually.
Supporting Evidence
- 77% of the pairs showed significant correlation.
- Misannotation was found to contribute to the disagreement between probe sets.
- Pairs of probe sets that share at least one common probe show significant agreement.
Takeaway
This study looked at how well different probes for the same gene agree with each other, helping scientists know when they can trust the average of those probes.
Methodology
The study analyzed pairs of probe sets mapped to the same gene using Pearson correlation across multiple datasets.
Potential Biases
There may be bias due to the exclusion of non-informative probes, which could affect the overall correlation results.
Limitations
The analysis focused only on informative probe sets, potentially excluding problematic cases.
Statistical Information
P-Value
p<0.01
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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