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sophiamaedler committed Jun 2, 2023
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[![Python package](https://github.com/MannLabs/SPARCSpy/actions/workflows/python-package.yml/badge.svg?branch=release)](https://github.com/MannLabs/SPARCSpy/actions/workflows/python-package.yml) [![Python package](https://img.shields.io/badge/version-v1.0.0-blue)](https://github.com/MannLabs/SPARCSpy/actions/workflows/python-package.yml) [![Python package](https://img.shields.io/badge/license-MIT-blue)](https://github.com/MannLabs/SPARCSpy/actions/workflows/python-package.yml)
[![Python package](https://img.shields.io/badge/version-v1.0.0-blue)](https://github.com/MannLabs/SPARCSpy/actions/workflows/python-package.yml) [![Python package](https://img.shields.io/badge/license-MIT-blue)](https://github.com/MannLabs/SPARCSpy/actions/workflows/python-package.yml)
[![website](https://img.shields.io/website?url=https%3A%2F%2Fmannlabs.github.io/SPARCSpy/html/index.html)](https://mannlabs.github.io/SPARCSpy/html/index.html)

SPARCSpy is a scalable toolkit to analyse SPARCS datasets. The python implementation efficiently segments individual cells, generates single-cell datasets and provides tools for the efficient deep learning classification of their phenotypes and subsequent excision using Laser Microdissection.

Installation from Github
========================
## Installation from Github

SPARCSpy has been tested with **Python 3.8 and 3.9**.
To install the SPARCSpy library clone the Github repository and use pip to install the library in your current environment. It is recommended to use the library with a conda environment. Please make sure that the package is installed editable like described. Otherwise pretrained models might not be available.
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pip install -e .
```

Documentation
==============
## Documentation

The current documentation can be found under https://mannlabs.github.io/SPARCSpy/html/index.html.

## Citing our Work

py-lmd was developed by Georg Wallmann, Sophia Mädler and Niklas Schmacke in the labs of Veit Hornung and Matthias Mann. If you use our code please cite the [following manuscript](https://www.biorxiv.org/content/10.1101/2023.06.01.542416v1):

SPARCS, a platform for genome-scale CRISPR screening for spatial cellular phenotypes
Niklas Arndt Schmacke, Sophia Clara Maedler, Georg Wallmann, Andreas Metousis, Marleen Berouti, Hartmann Harz, Heinrich Leonhardt, Matthias Mann, Veit Hornung
bioRxiv 2023.06.01.542416; doi: https://doi.org/10.1101/2023.06.01.542416
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Citing our Work
================

SPARCSpy was developed by Sophia Mädler, Georg Wallmann and Niklas Schmacke in the labs of Matthias Mann and Veit Hornung. If you use our code please cite the following manuscript:
SPARCSpy was developed by Sophia Mädler, Georg Wallmann and Niklas Schmacke in the labs of Matthias Mann and Veit Hornung.
If you use our code please cite the `following manuscript <https://doi.org/10.1101/2023.06.01.542416>`_:

CITATION HERE
SPARCS, a platform for genome-scale CRISPR screening for spatial cellular phenotypes
Niklas Arndt Schmacke, Sophia Clara Maedler, Georg Wallmann, Andreas Metousis, Marleen Berouti, Hartmann Harz, Heinrich Leonhardt, Matthias Mann, Veit Hornung
bioRxiv 2023.06.01.542416; doi: https://doi.org/10.1101/2023.06.01.542416

.. toctree::
:maxdepth: 2
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