Metadata-Version: 2.4
Name: insilico-cancer-center
Version: 0.1.2
Summary: Simulate tumor growth, treatment, and molecular data generation.
License: MIT
License-File: LICENSE
Author: pedrofale
Author-email: pedro.miguel.ferreira.pf@gmail.com
Requires-Python: >=3.10,<3.14
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: celluloid (>=0.2.0)
Requires-Dist: click (>=8.0.1,<9.0.0)
Requires-Dist: networkx (>=3.1,<4.0)
Requires-Dist: numpy (>=1.25,<2.0)
Requires-Dist: packcircles (>=0.14,<0.15)
Requires-Dist: pandas (>=2.2.3,<3.0.0)
Requires-Dist: pygraphviz (>=1.11,<2.0)
Requires-Dist: pymuller (>=0.1.2,<0.2.0)
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Requires-Dist: scipy (>=1.11,<2.0)
Requires-Dist: tqdm (>=4.57.0,<5.0.0)
Project-URL: Repository, https://github.com/pedrofale/iscc
Description-Content-Type: text/markdown

<div align="left">
  <img src="https://github.com/pedrofale/iscc/raw/main/docs/assets/logo_text.svg" width="340px">
</div>
<p></p>

[![PyPI](https://img.shields.io/pypi/v/insilico-cancer-center.svg?style=flat)](https://pypi.org/project/insilico-cancer-center/)
[![Tests](https://github.com/pedrofale/iscc/actions/workflows/main.yaml/badge.svg)](https://github.com/pedrofale/iscc/actions/workflows/main.yaml)
[![Docs](https://github.com/pedrofale/iscc/actions/workflows/docs.yml/badge.svg)](https://pedrofale.github.io/iscc/)

`iscc` (in silico cancer center) is a multi-modal tumor-evolution data simulator. It grows one
selection-driven, spatially-structured tumor, optionally treats it, samples it, and generates
single-cell and bulk DNA, RNA, and spatial data, down to sequencing reads. Because every run knows
the true clones, mutations, copy numbers, cell states, spatial niches, and lineages, `iscc` provides
a realistic ground truth for benchmarking computational tumor evolution methods.

## Installation

```bash
pip install insilico-cancer-center
```

