Skip to main content

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.

:ledger: Note: You will need to manually install Graphviz (version 2.42 or later).

References

  • 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

  • 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

Author

Hiroaki Imoto

License

Apache License 2.0

Metadata

Release files for biomass 0.9.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for biomass 0.9.0
File Size Uploaded
biomass-0.9.0.tar.gz 125.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for biomass 0.9.0
File Interpreter ABI Platform
biomass-0.9.0-py3-none-any.whl Python 3 none any Details

Total release size: 288.5 kB

Release files / biomass-0.9.0.tar.gz

Download URL biomass-0.9.0.tar.gz
Size 125.0 kB
Tags Source
SHA-256 checksum
How to use checksums
0ccdffef789ec04ca4dbebfbd7024b6de4baf02f8fb593bb3ced6103b9af831b
BLAKE2b-256 checksum
How to use checksums
c54b57ace527dd998227bdf91261e452b2117177219569716a9de5a674c1e784
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.10.5

Release files / biomass-0.9.0-py3-none-any.whl

Download URL biomass-0.9.0-py3-none-any.whl
Size 163.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1f413e086ec3b89d6765b6150b3a8d052b6373dc974a2ffb2dffc714fd28693c
BLAKE2b-256 checksum
How to use checksums
133e91fc4bb26621e859fc1000f909ca104392b8e28b8298308efefaeb8c1729
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.10.5

Release history Release notifications | RSS feed

0.11.1

2 release files

0.11.0

2 release files

0.10.0

2 release files

0.9.1

2 release files

This release

0.9.0 This release

2 release files

0.8.0

2 release files

0.7.2

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.2

2 release files

0.6.1

2 release files

0.6.0

2 release files

0.5.5

2 release files

0.5.4

2 release files

0.5.3

2 release files

0.5.2

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.5

2 release files

0.3.4

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.3

2 release files

0.2.2

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page