Skip to main content

A Python Framework for Modeling and Analysis of Signaling Systems

Project description

BioMASS

PyPI version Actions Status Documentation Status License Downloads PyPI pyversions Language grade: Python pre-commit.ci status Code style: black Imports: isort Cancers Paper

BioMASS is a computational framework for modeling and analysis of biological signaling systems in Python.

It provides useful tools for numerical simulation, parameter estimation, network analysis, and result visualization.

Installation

The BioMASS library is available at the Python Package Index (PyPI).

$ pip install biomass

BioMASS supports Python 3.7 or newer.

Reference

Imoto, H., Zhang, S. & Okada, M. A Computational Framework for Prediction and Analysis of Cancer Signaling Dynamics from RNA Sequencing Data—Application to the ErbB Receptor Signaling Pathway. Cancers 12, 2878 (2020). https://doi.org/10.3390/cancers12102878

Author

Hiroaki Imoto

License

Apache License 2.0

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

biomass-0.5.5.tar.gz (71.8 kB view details)

Uploaded Source

Built Distribution

biomass-0.5.5-py3-none-any.whl (97.5 kB view details)

Uploaded Python 3

File details

Details for the file biomass-0.5.5.tar.gz.

File metadata

  • Download URL: biomass-0.5.5.tar.gz
  • Upload date:
  • Size: 71.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for biomass-0.5.5.tar.gz
Algorithm Hash digest
SHA256 f74386d4503452a0cebdb09c3ead5b3450c0baec5f6abfab3a9473d65879ea80
MD5 4098ad00aa275e7935909eea982743e9
BLAKE2b-256 485166fddc4a58ce67d6cbe15a2d108978cf66bfad5bf7d18b24a1417b8311fb

See more details on using hashes here.

File details

Details for the file biomass-0.5.5-py3-none-any.whl.

File metadata

  • Download URL: biomass-0.5.5-py3-none-any.whl
  • Upload date:
  • Size: 97.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for biomass-0.5.5-py3-none-any.whl
Algorithm Hash digest
SHA256 bd4eeb2fb8d1fa8db959fa777f204d53225a2d5f56207458a4d4ae5c040c3b10
MD5 cc8ec8cbdff118152874b5141e16dcf7
BLAKE2b-256 8809d987ce616947c9c1ad1aac8b9e08c429bc45f8cff807aa3eb10c4558116f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page