CNO (Cell Net Optimiser): Manipulate, Visualise and Optimise Biological Networks to Perturbation Data.
Project description
cellnopt/cno
- Note:
Cellnopt is tested under Python2.7 and portage to Python3 is on the way
- Contributions:
Please join cellnopt github project and share your notebooks
- Issues:
Please use cellnopt issues and bug report
- Documentation:
Some documentation (mostly API) are also available on pypi
This is a stable version that contains datasets and tools to manipulate models and data sets used in CellNOpt project. The sub-package cno.io is ready and is a replacement for cellnopt.core package. cno.datasets sub-package is a replacement for cellnopt.data package.
As for the formalisms, pipelines are provided for each formalism and are available in the boolean, ode and fuzzy packages.
- See also:
http://www.cellnopt.org for the context.
Installation
From Pypi / pip:
sudo pip install cno
From github:
# Get the source either from http git clone http://github.com/cellnopt/cellnopt.git # or SSH # git clone git@github.com:cellnopt/cellnopt.git cd cellnopt sudo python setup.py install
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file cno-0.1.4.tar.gz
.
File metadata
- Download URL: cno-0.1.4.tar.gz
- Upload date:
- Size: 219.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 93e90ad2bde1b3521e787b38fcb415e81cdff344924aafec04a11462cf78bb9e |
|
MD5 | 2a494b8861359e9a8c18d3d6304d297b |
|
BLAKE2b-256 | 0c427f293c756548d1449bb2425d305ea27145d734f5758b94226fa474cc86cf |