Skip to main content

TFit : Assessing the combinatorial potential of Transcription Factors in Gene Regulation

Project description

TFitPy (Transcription Factor Fitness)

TFitPy (which stands for Transcription Factor Fitness) is a python package to access the combinatorial potential of Transcription Factors in Gene Regulation of a target gene.

Installation

Use poetry add tfitpy@^0.0.6 --python ">=3.11,<3.14.1 || >3.14.1,<4.0" if facing version issues

Or using PIP: pip install tfitpy

Initial setup

This package requires a lot of biological data to compute various validation indices.

Validate Co-regulators of a target gene

Step 1 : Load datasets

Step 2 : Generate indices

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

tfitpy-0.9.8.tar.gz (44.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tfitpy-0.9.8-py3-none-any.whl (54.6 kB view details)

Uploaded Python 3

File details

Details for the file tfitpy-0.9.8.tar.gz.

File metadata

  • Download URL: tfitpy-0.9.8.tar.gz
  • Upload date:
  • Size: 44.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for tfitpy-0.9.8.tar.gz
Algorithm Hash digest
SHA256 862568b23505d3f5e4706f92b3bd07e29f452c3a62cd0b82dff9a41b42ece225
MD5 58ac0249360c5eaafa91ac93c1b0f009
BLAKE2b-256 84eb9f18d0c3f4961f7fb34d3c54e87cf9f5040df067b2b70c347c6f5a7ece8b

See more details on using hashes here.

Provenance

The following attestation bundles were made for tfitpy-0.9.8.tar.gz:

Publisher: package.yaml on shubhvjain/tfit

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file tfitpy-0.9.8-py3-none-any.whl.

File metadata

  • Download URL: tfitpy-0.9.8-py3-none-any.whl
  • Upload date:
  • Size: 54.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for tfitpy-0.9.8-py3-none-any.whl
Algorithm Hash digest
SHA256 9685448539162d1b4ca57c5068b90c1b31007ac8fcce2f4cf46e54b9389a0e0b
MD5 c417c83a05a2e00edc4a24840d2ee1cc
BLAKE2b-256 525af48d9ff9afc1640d47d61b57ba9d191cce410e96c1be77f7ff8c25399047

See more details on using hashes here.

Provenance

The following attestation bundles were made for tfitpy-0.9.8-py3-none-any.whl:

Publisher: package.yaml on shubhvjain/tfit

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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