Rewriting Ouija in PyMC3, new blog post by Mohammed Charrout

Mohammed Charrout wrote a new blog post describing his reimplementation of Ouija, a trajectory inference tool that recovers the pseudotimes of cells in a scRNA-seq dataset. Ouija is a Bayesian generative model written originally in the probabilistic programming language Stan. Mohammed converted the Ouija model to PyMC3 and described this in details in his blog post.

Rewriting Ouija in PyMC3: https://mochar.github.io/ouija-in-pymc

Last year, we developed a method to gain insights into the biological functions driving trajectories inferred from single cell data using Ouija. You can read more about this here: Charrout et al. NAR Genomics and Bioinformatics 2020.