Metadata-Version: 2.1
Name: scdecipher
Version: 0.1.0
Summary: Decipher is a single-cell analysis package to integrate and compare perturbed samples to healthy samples, to identify the origin of the cell-states perturbations.
License: MIT
Author: Achille Nazaret
Author-email: achille.nazaret@gmail.com
Requires-Python: >=3.9,<3.13
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: leidenalg (>=0.10.1,<0.11.0)
Requires-Dist: numpy (>=1.26.2,<2.0.0)
Requires-Dist: pandas (>=2.1.3,<3.0.0)
Requires-Dist: pyro-ppl (>=1.8.6,<2.0.0)
Requires-Dist: randomname (>=0.2.1,<0.3.0)
Requires-Dist: scanpy (>=1.9.6,<2.0.0)
Requires-Dist: scipy (>=1.11.3,<2.0.0)
Requires-Dist: torch (>=2)
Description-Content-Type: text/markdown

## Decipher

Decipher is a single-cell analysis toolkit to jointly analyze samples from distinct 
conditions (e.g. normal vs perturbed samples). 


## Quickstart tutorials
  - [1. Example of Decipher on AML data.](examples/1-tutorial.ipynb)

## Directories

```
.
├── decipher:       Source code
└── examples:       Examples and tutorials
```

## How to cite Decipher
Please cite our preprint: coming soon. 
_Deep generative model Deciphers derailed trajectories in Acute Myeloid Leukemia_

### BibTex
```
Coming soon
```
### Chicago
```
Coming soon
```


