@article {38522,
	title = {Tackling the widespread and critical impact of batch effects in high-throughput data},
	journal = {Nature reviews. GeneticsNature reviews. Genetics},
	volume = {11},
	year = {2010},
	note = {http://www.ncbi.nlm.nih.gov/pubmed/20838408?dopt=Abstract},
	type = {10.1038/nrg2825},
	abstract = {High-throughput technologies are widely used, for example to assay genetic variants, gene and protein expression, and epigenetic modifications. One often overlooked complication with such studies is batch effects, which occur because measurements are affected by laboratory conditions, reagent lots and personnel differences. This becomes a major problem when batch effects are correlated with an outcome of interest and lead to incorrect conclusions. Using both published studies and our own analyses, we argue that batch effects (as well as other technical and biological artefacts) are widespread and critical to address. We review experimental and computational approaches for doing so.},
	keywords = {biotechnology, Computational Biology, Genomics, Oligonucleotide Array Sequence Analysis, Periodicals as Topic, Research Design, Sequence Analysis, DNA},
	author = {Leek, Jeffrey T. and Scharpf, Robert B. and H{\'e}ctor Corrada Bravo and Simcha, David and Langmead, Benjamin and Johnson, W. Evan and Geman, Donald and Baggerly, Keith and Irizarry, Rafael A.}
}
