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-0.9.6.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-0.9.6-py3-none-any.whl (54.5 kB view details)

Uploaded Python 3

File details

Details for the file tfitpy-0.9.6.tar.gz.

File metadata

  • Download URL: tfitpy-0.9.6.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-0.9.6.tar.gz
Algorithm Hash digest
SHA256 45f35f17ee1ffc09c300939e2b479d018b098bc37f01012e51c625d9796104a9
MD5 5bcdcd2710b8c13c2a821dff5d73738e
BLAKE2b-256 c5fd3a5605f2afe913a6728fd6246684a9e70768bb5ec1150cc76f1e04801f9a

See more details on using hashes here.

Provenance

The following attestation bundles were made for tfitpy-0.9.6.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-0.9.6-py3-none-any.whl.

File metadata

  • Download URL: tfitpy-0.9.6-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-0.9.6-py3-none-any.whl
Algorithm Hash digest
SHA256 db91feb93f6b5287b9be2f2953b2f8bf1e7a19ad1eae98ac02bd80b224dbb63c
MD5 8595b00921970ce97816970e36edff1d
BLAKE2b-256 d8f69597050ebf79838c0b183a3bfb4a927366287350717b6eb6d054600debe5

See more details on using hashes here.

Provenance

The following attestation bundles were made for tfitpy-0.9.6-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