Preferred analysis methods for Affymetrix GeneChips. II. An expanded, balanced, wholly-defined spike-in dataset

@inproceedings{Zhu2010PreferredAM,
  title={Preferred analysis methods for Affymetrix GeneChips. II. An expanded, balanced, wholly-defined spike-in dataset},
  author={Qianqian Zhu and Jeffrey C. Miecznikowski and Marc S. Halfon},
  booktitle={BMC Bioinformatics},
  year={2010}
}
Concomitant with the rise in the popularity of DNA microarrays has been a surge of proposed methods for the analysis of microarray data. Fully controlled "spike-in" datasets are an invaluable but rare tool for assessing the performance of various methods. We generated a new wholly defined Affymetrix spike-in dataset consisting of 18 microarrays. Over 5700 RNAs are spiked in at relative concentrations ranging from 1- to 4-fold, and the arrays from each condition are balanced with respect to both… CONTINUE READING
Highly Cited
This paper has 42 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 20 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 43 references

Towards the uniform distribution of null P values on Affymetrix microarrays

  • A Fodor, T Tickle, C Richardson
  • Genome Biology
  • 2007
Highly Influential
4 Excerpts

Long AD: A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes

  • P Baldi
  • 2001
Highly Influential
4 Excerpts

Team: R: A Language and Environment for Statistical Computing

  • R Development Cor
  • 2008. doi: 10.1186/1471-2105-11-285 Cite this…
  • 2010

Similar Papers

Loading similar papers…