Metadata-Version: 2.1
Name: ccnet
Version: 1.0.0
Summary: A network-based single-cell RNA-seq data analysis library
Home-page: https://github.com/Just-Jia/ccNet
Author: Junbo Jia
Author-email: junbo_jia@163.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# ccnet

*Ccnet*, cell-cell network, is a single-cell RNA sequencing data analysis package based on non-uniform epsilon-neighborhood network (NEN).

## Features

- Different from the traditional analysis of scRNA-seq data, which performs visualization, clustering and trajectory inference using methods based on different theories, *ccnet* accomplishes the three targets in a consistent manner.
- NEN network combines the advantages of both k-neighbors (KNN) and epsilon-neighborhood (EN) to represent the intrinsic manifold of data.


## Installation

Install *ccnet* from pip:

	pip install ccnet

Or, to build and install run from source:

	python setup.py install

## Usage

For the usage of *ccnet*, please refer to example, where we introduce the relevant analysis steps, including visualization, clustering, pseudotime ordering, finding trajectory-associated genes, etc.

## Contribute

Source Code: [https://github.com/Just-Jia/ccNet.git](https://github.com/Just-Jia/ccNet.git)

## Contacts

My email: junbo_jia@163.com

## License

The project is licensed under the GNU GPLv3 license.


