Modeling Assumptions for Single-Cell RNA-seq with scribe¶
This tutorial walks through a series of modeling and inference choices that
scribe's Bayesian engine makes available for single-cell RNA-seq data, using
the Jurkat Cells dataset
from 10x Genomics (~3,200 cells, monoculture). Because there is only one cell
type, the focus is entirely on the statistical models rather than biological
heterogeneity.
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.py
on a GPU-enabled machine.