A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data

@inproceedings{Luo2010ACO,
  title={A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data},
  author={J Luo and Melanie Schumacher and Anna Scherer and Despina Sanoudou and Dalila Megherbi and Tanya Davison and Tingyan Shi and Weida Tong and Leming Shi and Huixiao Hong and Chunfang Zhao and Fathi Elloumi and Weiwei Shi and Robert W. L. Thomas and Shang Ming Lin and Guy Tillinghast and Guixia. Liu and Yi-yi Zhou and Damir Herman and Yan Xiu Li and Y Deng and Hengfu Fang and Pierre Bushel and Mark Woods and Jinming Zhang},
  booktitle={The Pharmacogenomics Journal},
  year={2010}
}
Batch effects are the systematic non-biological differences between batches (groups) of samples in microarray experiments due to various causes such as differences in sample preparation and hybridization protocols. Previous work focused mainly on the development of methods for effective batch effects removal. However, their impact on cross-batch prediction performance, which is one of the most important goals in microarray-based applications, has not been addressed. This paper uses a broad… CONTINUE READING
Related Discussions
This paper has been referenced on Twitter 2 times. VIEW TWEETS

Citations

Publications citing this paper.
Showing 1-10 of 72 extracted citations

GFS: fuzzy preprocessing for effective gene expression analysis

BMC Bioinformatics • 2016
View 4 Excerpts
Highly Influenced

Removing Batch Effects From Histopathological Images for Enhanced Cancer Diagnosis

IEEE Journal of Biomedical and Health Informatics • 2014
View 5 Excerpts
Highly Influenced

A molecular biopsy test based on arteriolar under-hyalinosis reflects increased probability of rejection related to under-immunosuppression.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons • 2018

References

Publications referenced by this paper.
Showing 1-10 of 23 references

Genomic Indi

J Huang, W Shi, +3 authors K Gerrish
Pharmocogenomics J • 2010

Genomic Indicators of Hepatotoxicity conferred through perturbed biological processes and pathways in the blood , accepted by Pharmocogenomics J

J Huang, W Shi, +3 authors K Gerrish
2010

MAQC - II Project : a comprehensive study of common practices for the development and validation of microarray - based predictive models

L Shi, G Campbell, +3 authors Z Su
Submitted to Nat Biotechnol • 2010

Batch Effects and Noise in Microarray Experiments: Sources

A. Scherer
patients. BMC Genomics • 2008

Adjusting batch effects in microarray

WE Johnson, C Li, A. Rabinovic
2007

Similar Papers

Loading similar papers…