Integrative relational machine-learning for understanding drug side-effect profiles
type: Dataset
description: International audience
issued: 2026-05-10T09:12:07.249380
language: en
modified: 2026-05-10T09:12:07.249385
contact point: Organization
  fn: CCSD
keyword: data-integration
keyword: data-mining
keyword: drug-discovery
keyword: drug-side-effects
keyword: infoeu-reposemanticsarticle
keyword: infoinfo-bicomputer-science-csbioinformatics-q-bioqm
keyword: journal-articles
keyword: relational-machine-learning
keyword: sdvbbmgtplife-sciences-q-biobiochemistry-molecular-biologygenomics-q-biogn
keyword: sdvbibslife-sciences-q-bioquantitative-methods-q-bioqm
landing page: 1471-2105

Integrative relational machine-learning for understanding drug side-effect profiles
type: Distribution
format: HTML
issued: 2026-05-10T09:12:07.252868
modified: 2026-05-10T09:12:07.237782
access URL: https://inria.hal.science/hal-00843914

test_moissonnage_selune
type: Agent