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Navigable Slide Index

1. Introduction
2. Should I do a microarray experiment at all?
3. What is a successful microarray experiment?
4. Some common issues in microarray experiments
5. Why are microarrays special?
6. How many replicates? (1)
7. How many replicates? (2)
8. How many replicates? (3)
9. How many replicates are actually used?
10. Statistical tools for small datasets
11. The quality of the sample
12. The magnitude of the effect (1)
13. The magnitude of the effect (2)
14. What is a good replicate?
15. What is a bad replicate?
16. Should samples be pooled?
17. Beware of batch effects
18. Which arrays are the best?
19. Do I have to confirm my results?
20. Acknowledgements
21. Further reading

Topics Covered

• Why do microarray experiments?
• Criteria of success
• Number of arrays and replicates
• Statistics for small datasets
• Sample quality and effect sizes
• Which controls to use
• Pooling and batch effects
• Array platform differences

Links

Series:

• Microarrays

Categories:

• Methods

Talk Citation

Breitling, R. (2022, April 12). How to design a successful microarray experiment [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved November 21, 2024, from https://doi.org/10.69645/BGUW4856.
Export Citation (RIS)

Publication History

• Published on March 30, 2009
• Reviewed on April 12, 2022

Financial Disclosures

• Dr. Rainer Breitling has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.