Principled gene–gene correlations with NBLN + SVI cascade + sparse loadings prior¶
This tutorial is a sequel to Modeling Assumptions for Single-Cell RNA-seq with
scribe. It uses the same Jurkat Cells
dataset
(~3,200 cells) and focuses on the Negative-Binomial LogNormal (NBLN) model:
SVI cascade anchoring, gauge handling, and sparse loadings priors so that
reported gene–gene correlations are easier to interpret and defend.
Pre-computed outputs
This notebook requires a GPU to run. All outputs shown below were
pre-computed and exported to static HTML. To re-run it yourself, clone
the repository and execute the notebook with marimo edit docs/tutorials/jurkat_cells_nbln.py
on a GPU-enabled machine.