Sparse Bayesian mixture model for learning community subtypes and perturbation effects from MaPS-seq experimental data.
First install the MCSPACE package:
git clone https://github.com/gerberlab/MCSPACE.git
pip install MCSPACE/.
Then install pytorch from pip
We provide tutorials for running the MCSPACE model on a single MaPS-seq data sample here, as well as running inference on a perturbation study here. These show how to use MCSPACE to load data, run the model, and use built in visualization to interpret results.