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Metasheller

Metasheller is a pip installable package to create metacells using SEACells quickly (and in parallel).

I've applied it to noisy scRNA data from many samples prior to running SLIDE, and to reduce the number of representative cells of a certain clonotype.


๐Ÿš€ Installation

It's recommended to use a dedicated Python environment for Metasheller. Hereโ€™s a quick guide:

1. Create a new environment

conda create -n metasheller-env python=3.8
conda activate metasheller-env

2. Install Metasheller via pip

pip install metasheller

๐Ÿ“š Tutorial

To get started quickly, follow the example in tutorial.ipynb


About

for messier scRNA datasets coming from multiple samples, creating metacells (combining transcriptomes from multiple cells of the same sample) can be very useful. Other use cases include creating average representations of cells with the same clonotype

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