Skip to main content
Ctrl+K
Pypath

Pypath

  • Welcome to pypath!
  • Webservice
  • Release history
  • Reference
  • The pypath book
  • GitHub
  • Twitter
  • PyPI
  • OmniPath
  • Saez Lab
  • Welcome to pypath!
  • Webservice
  • Release history
  • Reference
  • The pypath book
  • GitHub
  • Twitter
  • PyPI
  • OmniPath
  • Saez Lab

Section Navigation

  • Reference
  • pypath.inputs.string
  • pypath.input...

pypath.inputs.string.string_links_interactions§

pypath.inputs.string.string_links_interactions(ncbi_tax_id: int = 9606, score_threshold: int | Literal['highest_confidence', 'high_confidence', 'medium_confidence', 'low_confidence'] = 'highest_confidence', physical_interaction_score: bool = True) → list[tuple][source]§

Downloads protein network data, including subscores per channel. The output contains both functional and physical protein associations. The combined physical interaction score is defined between the proteins for which we have evidence of their binding or forming a physical complex.

Args
score_threshold: Minimum required interaction score. user can use

pre-defined confidence limits or can define a custom value.

previous

pypath.inputs.string.string_effects

next

pypath.inputs.string.string_physical_interactions

On this page
  • Welcome to pypath!
  • Webservice
  • Release history
  • Reference
  • The pypath book

© Copyright 2024, Denes Turei <turei.denes@gmail.com>, Nicolàs Palacio, Sebastian Lobentanzer, Olga Ivanova, Melih Darcan, Erva Ulusoy, Tennur Kilic, Omer Kaan Vural, Ahmet Rifaioglu, Charles Tapley Hoyt.

Created using Sphinx 7.2.6.

Built with the PyData Sphinx Theme 0.15.2.