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Fig. 1 | BMC Bioinformatics

Fig. 1

From: A robust nonlinear low-dimensional manifold for single cell RNA-seq data

Fig. 1

Average Wasserstein-2 distance across samples of the normalized pairwise distance matrix between learned manifold and true manifolds as a function of noise variance for (left) Gaussian error model and (right) zero-centered gamma error model. Numbers indicate the Student’s t-distribution degrees of freedom parameters, N represent normal error. Error bars represent the standard error of the mean

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