Fig. 6
From: Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
The scvis directed probabilistic graphical model and the variational approximation of its posterior. Circles represent random variables. Squares represent deterministic parameters. Shaded nodes are observed, and unshaded nodes are hidden. Here we use the plate notation, i.e., nodes inside each box will get repeated when the node is unpacked (the number of repeats is on the bottom right corner of each box). Each node and its parents constitute a family. Given the parents, a random variable is independent of the ancestors. Therefore, the joint distribution of all the random variables is the product of the family conditional distributions. a The generative model to generate data x n , and b the variational approximation q(z n | x n , ϕ) to the posterior p(z n | x n , θ)
