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-0.9.3.tar.gz (44.6 kB view details)

Uploaded Source

Built Distribution

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

tfitpy-0.9.3-py3-none-any.whl (54.5 kB view details)

Uploaded Python 3

File details

Details for the file tfitpy-0.9.3.tar.gz.

File metadata

  • Download URL: tfitpy-0.9.3.tar.gz
  • Upload date:
  • Size: 44.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for tfitpy-0.9.3.tar.gz
Algorithm Hash digest
SHA256 add0d68d2682d4b47e54924e206f38ea2439213192d4e8b97be874b154e5dcd5
MD5 cb7f4fe4b0b7572ce5d225f68fd75e27
BLAKE2b-256 8650904bbb1abfb63f21bbaa298f7aa2ec995a725713c50f12b4b32d2b88a166

See more details on using hashes here.

Provenance

The following attestation bundles were made for tfitpy-0.9.3.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-0.9.3-py3-none-any.whl.

File metadata

  • Download URL: tfitpy-0.9.3-py3-none-any.whl
  • Upload date:
  • Size: 54.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for tfitpy-0.9.3-py3-none-any.whl
Algorithm Hash digest
SHA256 7991f26320a19f35d5fcee3c9a78ffb017d7cfeaec91373dd4b840788320be12
MD5 439d1e89a682e9555b62a75be0a88f87
BLAKE2b-256 8fa13b63ff5d97da929123072c81add776f88597488423ee64e82c2928933bbb

See more details on using hashes here.

Provenance

The following attestation bundles were made for tfitpy-0.9.3-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