Fig. 4
From: Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
Learning a probabilistic mapping function from the bipolar data and applying the function to the independently generated mouse retina dataset. a scvis learned two-dimensional representations of the bipolar dataset, b coloring each point by the estimated log-likelihood, c the whole mouse retina dataset was directly projected to a two-dimensional space by the probabilistic mapping function learned from the bipolar data, and d coloring each point from the retina dataset by the estimated log-likelihood
