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--- |
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language: en |
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license: cc-by-4.0 |
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multilinguality: momolingual |
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pretty_name: GAD |
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paperswithcode_id: gad |
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--- |
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# Dataset Card for GAD |
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## Dataset Description |
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- **Homepage:** https://geneticassociationdb.nih.gov/ |
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- **Pubmed:** True |
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- **Public:** True |
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- **Tasks:** Text Classification |
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A corpus identifying associations between genes and diseases by a semi-automatic |
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annotation procedure based on the Genetic Association Database. |
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## Note about homepage |
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The homepage for this dataset is no longer reachable, but the url is recorded here. |
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Data for this dataset was originally downloaded from a google drive |
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folder (the link used in the [BLURB benchmark data download script](https://microsoft.github.io/BLURB/submit.html). |
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However, we host the data in the huggingface hub for more reliable downloads and access. |
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## Citation Information |
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``` |
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@article{Bravo2015, |
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doi = {10.1186/s12859-015-0472-9}, |
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url = {https://doi.org/10.1186/s12859-015-0472-9}, |
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year = {2015}, |
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month = feb, |
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publisher = {Springer Science and Business Media {LLC}}, |
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volume = {16}, |
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number = {1}, |
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author = {{\`{A}}lex Bravo and Janet Pi{\~{n}}ero and N{\'{u}}ria Queralt-Rosinach and Michael Rautschka and Laura I Furlong}, |
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title = {Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research}, |
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journal = {{BMC} Bioinformatics} |
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} |
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``` |
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