Metadata-Version: 2.1
Name: pyviewmaster
Version: 0.1.2
Summary: viewmastR uses machine learning implemented in Rust to perform automated cell type classification for single-cell genomic data.  Currently viewmastR is authored to work with scRNAseq data, but more features are coming.
Home-page: https://github.com/furlan-lab/pyviewmaster
Author: Scott Furlan
Author-email: scott.furlan@example.com
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scanpy
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: rds2py
Requires-Dist: biocframe

# pyviewmaster

version 0.1.2

<p align="center"><img src="blob/viewmaster.png" alt="" width="500"></a></p>
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pyviewmaster is a method for performing unsupervised classification of single cells across datasets written for use in the python environment using Rust machine learning

**Visit [HowTo](https://github.com/furlan-lab/pyviewmaster/blob/main/notebooks/01_load_data.ipynb) for a tutorials**

## Acknowledgements

Written by Scott Furlan.

<p align="center"><img src="blob/furlan_lab_logo.png" alt="" width="500"></a></p>
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