Bayesian Cell Counts
     

Bayesian Cell Counts

Paper

Hierarchical Bayesian modeling of multi-region brain cell count data.
Sydney Dimmock, Benjamin M.S. Exley, Gerald Moore, Lucy Menage, Alessio Delogu, Simon R Schultz, E Clea Warburton, Conor J Houghton and Cian O'Donnell
(Reviewed preprint at eLife, 2024)
eLife reviewed preprint, bioRxiv, bioRxiv doi: 10.1101/2024.07.20.603979

Code

BayesianCellCounts/DimmockEtAl2025: Hierarchical Bayesian modeling of multi-region brain cell count data. (v1.01).
Sydney Dimmock, Conor Houghton and Cian O'Donnell (2025),
doi.org/10.5281/zenodo.16340993

This code uses two data sets:

Getting started

We have provided an example of our analysis that is hopefully easy to translate to other examples, this is described at:

Bayesian inference

The usual place to start with Bayesian approaches is the wonderful text book Statistical Rethinking Richard McElreath:

For our purposes here a good start would be looking at Chapters 1 to 11 but skipping or just skimming Chapters 5 to 7.

Richard McElreath, who wrote the book has some nice youtube videos, the first is here:

or, for a new version, here:

A more classic textbook be leading people in the field is

and this review, though it has its faults, is useful: