Metadata-Version: 2.1
Name: MSIght
Version: 1.0.15
Summary: MSIght is an open-source Python-based algorithm designed for proteome characterization from the automated integration of histology, LC-MS/MS, and MSI datasets.
Home-page: https://github.com/laurenfields/MSIght_1.0.0
Author: Li Labs (University of Wisconsin-Madison)
Author-email: lafields2@wisc.edu
Project-URL: Documentation, https://msight-100.readthedocs.io/en/latest/?badge=latest
Project-URL: PyPI, https://pypi.org/project/msight/
Project-URL: Source, https://github.com/laurenfields/MSIght_1.0.0
Project-URL: User manual, https://docs.google.com/document/d/1LNEW0XPbH9mTnc5Fh0l7QC1vW48mU75P3hPOI2Tp66E/pub
Project-URL: Tracker, https://github.com/laurenfields/MSIght_1.0.0/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib>=3.7.2
Requires-Dist: numpy>=1.24.4
Requires-Dist: opencv_python>=4.8.1.78
Requires-Dist: pandas>=1.5.3
Requires-Dist: plotly>=5.22.0
Requires-Dist: pyimzML>=1.5.3
Requires-Dist: pytest>=8.2.2
Requires-Dist: scikit_image>=0.19.3
Requires-Dist: scikit_learn>=1.3.0
Requires-Dist: scipy>=1.10.1
Requires-Dist: seaborn>=0.11.2
Requires-Dist: SimpleITK>=2.4.0
Requires-Dist: tifffile>=2023.4.12
Requires-Dist: sphinx_rtd_theme>=1.0.0
Requires-Dist: notebook>=7.3.1
Requires-Dist: jupyter_server>=2.14.2
Requires-Dist: plotly>=5.22.0

[![Documentation Status](https://readthedocs.org/projects/msight-100/badge/?version=latest)](https://msight-100.readthedocs.io/en/latest/?badge=latest)
![Unit Tests](https://github.com/laurenfields/MSIght_1.0.0/actions/workflows/ci.yml/badge.svg)
[![PyPI version](https://badge.fury.io/py/msight.svg?cache-bust=1)](https://pypi.org/project/msight/)

<div align="center">
<img src="https://github.com/laurenfields/MSIght/blob/main/MSIght_logo.png">
</div>

# MSIght

MSIght is a program produced by the Lingjun Li Lab at the University of Wisconsin-Madison for automated integration of H&E, MSI, and LC-MS/MS datasets

#### Getting started
* [User manual](https://docs.google.com/document/d/e/2PACX-1vRg7HEovZCDG1IdLaVpfKdxXk9n3LBGevGVzZj9DhtYL69CmZ8VAwbSIM4Tm7bsCUkNBI8ixcHTqp6f/pub)
* [Documentation](https://msight-100.readthedocs.io/en/latest/)
* [Video tutorial](https://drive.google.com/file/d/1caKp6fv9s_aWqJw8W0Bl-qT7vrga0kWd/view?usp=sharing)

## Installation

You can install MSIght directly from [PyPI](https://pypi.org/project/msight/):

```
pip install msight
```



#### Major release notes
##### Version 0.0.1 (Released 9/17/2024)
* Initial release
