Risk-conscious correction of batch effects: Maximising information extraction from high-throughput genomic datasets

Batch effects are a persistent and pervasive form of measurement noise which undermine the scientific utility of high-throughput genomic datasets. At their most benign, they reduce the power of statistical tests resulting in actual effects going unidentified.