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RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods
We propose a classification task designed to evaluate the effectiveness of experimental batch correction methods on these images and examine the performance of a number of correction methods on this task.
METCC: METric learning for Confounder Control Making distance matter in high dimensional biological analysis
These effects include both technical effects, such as variation across batches from instrument noise or sample processing, or institution-specific differences in sample acquisition and physical handling, as well as biological effects arising from true but irrelevant differences in the biology of each sample, such as age biases in diseases.
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