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Using ANOVA to Analyze Microarray Data
Open accessAbstract
ANOVA provides a general approach to the analysis of single and multiple factor experiments on both one- and two-color microarray platforms. Mixed model ANOVA is important because in many microarray experiments there are multiple sources of variation that must be taken into consideration when constructing tests for differential expression of a gene. The genome is large, and the signals of expression change can be small, so we must rely on rigorous statistical methods to distinguish signal from noise. We apply statistical tests to ensure that we are not just making up stories based on seeing patterns where there may be none.
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Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Cited by
Breeze, E., Harrison, E., McHattie, S., Hughes, L., Hickman, R., Hill, C., Kiddle, S., Kim, Y.-S., Penfold, C. A., Jenkins, D., et al. (2011) · The Plant Cell · doi:10.1105/tpc.111.083345 · Cited by 868
Howell, G. R., Macalinao, D. G., Sousa, G. L., Walden, M., Soto, I., Kneeland, S. C., Barbay, J. M., King, B. L., Marchant, J. K., Hibbs, M., et al. (2011) · Journal of Clinical Investigation · doi:10.1172/jci44646 · Cited by 473
Andrus, B. M., Blizinsky, K., Vedell, P. T., Dennis, K., Shukla, P. K., Schaffer, D. J., Radulovic, J., Churchill, G. A., & Redei, E. E. (2012) · Molecular Psychiatry · doi:10.1038/mp.2010.119 · Cited by 178
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Metadata
- Authors
- Churchill, G. A.
- Venue
- BioTechniques
- Publisher
- Informa UK Limited
- Published
- 2004-08
- Volume
- 37
- Issue
- 2
- Pages
- 173-177
- ISSN
- 0736-6205 (ISSN-L)
- 1940-9818
- OpenAlex
- W108176572
- Cited by
- 165
- References
- 1
- FWCI
- 3.50
- Type
- journal article
- Language
- en
- Open access
- gold
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