Metadata-Version: 2.1
Name: pyturbseq
Version: 0.0.14
Summary: A Python package for perturbational single-cell data
Author-email: Aidan Winters <aidanw@arcinstitute.org>
Project-URL: repository, https://github.com/aidanwinters/pyturbseq
Requires-Python: <3.12,>=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scanpy
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: umap-learn
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: tqdm
Requires-Dist: fastcluster
Requires-Dist: adjusttext
Requires-Dist: pydeseq2
Requires-Dist: statsmodels ==0.13.5
Requires-Dist: adpbulk
Requires-Dist: anndata
Requires-Dist: hdbscan
Requires-Dist: dcor

# pyturbseq  
Author: Aidan Winters  

### Description
A python package for processing and analysis of single cell perturbation data.  

### Install  
Requires python version between 3.8 and 3.11 
- tested most extensively with 3.11.4

Recommended: install into conda/mamba environment
```
conda create -n pyturbseq python=3.11
conda activate pyturbseq
```

then install with pip: 
```
pip install pyturbseq
```
