Adjusting for Batch Effects in DNA Methylation Microarray Data, a Lesson Learned

@inproceedings{Price2018AdjustingFB,
  title={Adjusting for Batch Effects in DNA Methylation Microarray Data, a Lesson Learned},
  author={Ellen M. Price and Wendy P Robinson},
  booktitle={Front. Genet.},
  year={2018}
}
It is well-known, but frequently overlooked, that low- and high-throughput molecular data may contain batch effects, i.e., systematic technical variation. Confounding of experimental batches with the variable(s) of interest is especially concerning, as a batch effect may then be interpreted as a biologically significant finding. An integral step toward reducing false discovery in molecular data analysis includes inspection for batch effects and accounting for this signal if present. In a 30… CONTINUE READING
22
Twitter Mentions

Figures and Topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 42 REFERENCES

Sva: Surrogate Variable Analysis

J. T. Leek, W. E. Johnson, +3 authors J. D. Storey
  • R Package Version 3. 12. 0.
  • 2017
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Batch effects and pathway analysis: two potential perils in cancer studies involving DNA methylation array analysis.

  • Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
  • 2013
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL