Overcoming the impacts of two-step batch effect correction on gene expression estimation and inference
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Nonignorable technical variation is commonly observed across data from multiple experimental runs, platforms, or studies. These so-called batch effects can lead to difficulty in merging data from multiple sources, as they can severely bias the outcome of the a... ...
