2011 - Transplantomics and Biomarkers in Transplantation
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Bioinformatics and Biostatistics
10.2 - Tackling the Widespread and Critical Impact of Batch Effects in High-Throughput Data
Presenter: Rafael, Irizarry, Baltimore, MD, USA
Authors: Rafael Irizarry
Tackling the Widespread and Critical Impact of Batch Effects in High-Throughput Data
Rafael Irizarry, The John Hopkins University, Baltimore, MD, USA
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, in this talk I will argue that batch effects (as well as other technical and biological artifacts) are widespread and critical to address. We review experimental and computational approaches for doing so.
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