Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment
Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment
In the context of high-throughput molecular data analysis it is common that the observations included in a dataset form distinct groups; for example, measured at different times, under different conditions or even in different labs. These groups are generally denoted as batches. Systematic differences between these batches not attributable to …