Metadata-Version: 2.1
Name: scimap
Version: 0.0.3
Summary: Single-Cell Image Analysis Package
Home-page: https://pypi.org/project/scimap
License: MIT
Author: Ajit Johnson Nirmal
Author-email: ajitjohnson.n@gmail.com
Requires-Python: >=3.7,<4.0
Classifier: Development Status :: 1 - Planning
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: anndata (>=0.7.3,<0.8.0)
Requires-Dist: numpy (>=1.18.5,<2.0.0)
Requires-Dist: pandas (>=1.0.4,<2.0.0)
Requires-Dist: pytest (>=5.4.3,<6.0.0)
Project-URL: Documentation, https://scimap.readthedocs.io
Project-URL: Repository, https://github.com/ajitjohnson/scimap
Description-Content-Type: text/markdown

# Single-Cell Image Analysis Package

Scimap is a scalable toolkit for analyzing single-cell imaging data using anndata data structuring framework. 
It includes preprocessing, visualization, clustering, spatial analysis and differential expression testing. 
The Python-based implementation efficiently deals with datasets of more than one million cells.


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# Setup

## Requirements

* Python 3.7+

## Installation

Install it directly into an activated virtual environment:

```text
$ pip install scimap
```

# Usage

After installation, the package can imported:

```text
$ python
>>> import scimap
>>> scimap.__version__
```
