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https://github.com/pasmopy/breast_cancer

A text-based computational framework for patient -specific modeling for classification of cancers. iScience (2022).
https://github.com/pasmopy/breast_cancer

breast-cancer breast-cancer-classification breast-cancer-prediction cancer ccle digital-twin in-silico-clinical-trial patient-specific-modeling precision-oncology prognostic-biomarkers stratification systems-biology-simulation tcga

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A text-based computational framework for patient -specific modeling for classification of cancers. iScience (2022).

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README

          

# The Pasmopy Project: Breast Cancer

[![Actions Status](https://github.com/pasmopy/breast_cancer/workflows/Tests/badge.svg)](https://github.com/pasmopy/breast_cancer/actions)
[![License](https://img.shields.io/badge/License-Apache%202.0-green.svg?logo=apache)](https://opensource.org/licenses/Apache-2.0)
[![iScience Paper](https://img.shields.io/badge/DOI-10.1016%2Fj.isci.2022.103944-blue)](https://doi.org/10.1016/j.isci.2022.103944)

[![overview](https://raw.githubusercontent.com/pasmopy/pasmopy/master/docs/_static/img/overview.png)](https://pasmopy.readthedocs.io)

This repository contains modeling and analysis code for the following paper:

- Imoto, H., Yamashiro, S. & Okada, M. A text-based computational framework for patient -specific modeling for classification of cancers. _iScience_ **25**, 103944 (2022). https://doi.org/10.1016/j.isci.2022.103944

## Installation

Clone the package:

```shell
$ git clone https://github.com/pasmopy/breast_cancer.git
```

## Getting Started

- Online documentation is hosted on GitHub Pages: https://pasmopy.github.io/breast_cancer.

- Please also refer to the method paper: https://doi.org/10.1016/j.xpro.2022.101619.

## Author

- Hiroaki Imoto
- Sawa Yamashiro

## License

1. Code license

Licensed under the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0). For details, see the [LICENSE](LICENSE) file.

2. Model parameters license

The model parameters are made available under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. You can find details at: https://creativecommons.org/licenses/by-nc-nd/4.0