Translating the SBGN-AF language into logic to analyze signalling networks
type: Dataset
description: International audience
issued: 2026-05-07T15:17:28.080811
language: en
modified: 2026-05-07T15:17:28.080815
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-aicomputer-science-csartificial-intelligence-csai
landing page: LNMR - 1st International Workshop on Learning and Non Monotonic Reasoning

Translating the SBGN-AF language into logic to analyze signalling networks
type: Distribution
format: HTML
issued: 2026-05-07T15:17:28.083498
modified: 2026-05-07T15:17:28.076169
access URL: https://inria.hal.science/hal-00924230

test_moissonnage_selune
type: Agent