Interpreting single cell data using annotation-trainability analysis
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Annotatability, a method to identify meaningful patterns in single-cell genomics data through annotation-trainability analysis, which estimates annotation congruence using a rich but often overlooked signal, namely the training dynamics of a deep neural network.
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