metadata

language:
  - en
bigbio_language:
  - English
license: cc-by-4.0
multilinguality: momolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: GAD
homepage: https://geneticassociationdb.nih.gov/
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
  - TEXT_CLASSIFICATION
paperswithcode_id: gad

Dataset Card for GAD

Dataset Description

Homepage: https://geneticassociationdb.nih.gov/
Pubmed: True
Public: True
Tasks: TXTCLASS

A corpus identifying associations between genes and diseases by a semi-automatic annotation procedure based on the Genetic Association Database.

Note about homepage

The homepage for this dataset is no longer reachable, but the url is recorded here. Data for this dataset was originally downloaded from a google drive folder (the link used in the BLURB benchmark data download script. However, we host the data in the huggingface hub for more reliable downloads and access.

Citation Information

@article{Bravo2015,
  doi = {10.1186/s12859-015-0472-9},
  url = {https://doi.org/10.1186/s12859-015-0472-9},
  year = {2015},
  month = feb,
  publisher = {Springer Science and Business Media {LLC}},
  volume = {16},
  number = {1},
  author = {{\`{A}}lex Bravo and Janet Pi{\~{n}}ero and N{\'{u}}ria Queralt-Rosinach and Michael Rautschka and Laura I Furlong},
  title = {Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research},
  journal = {{BMC} Bioinformatics}
}