Dynamic inequalities on time scales form a unifying framework that seamlessly integrates discrete and continuous analysis. By introducing a nonempty closed subset of the real numbers as the time ...
Joint inference of discrete and continuous factors captures variability across and within cell types
We developed mixture model inference with discrete-coupled autoencoders (MMIDAS), an unsupervised variational framework that jointly learns discrete clusters and continuous cluster-specific ...
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