Výsledky vyhledávání - "Rowlands, Thomas"

Text mining genome-wide association study literature - Poster

Autor: Rowlands, Thomas, Beck, Tim

Publikováno v: International SWAT4HCLS Conference

Genome-wide association studies (GWAS) have improved our understanding of disease aetiology by identifying genetic variants associated with complex human traits and disease phenotypes. The GWAS Central resource enables broad and convenient integrativ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9a24a834d87aa35ccf9723d9a9659cb

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Akademický článek

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Developing annotated corpora for training and evaluating biomedical text mining algorithms

Autor: Wang, Meiqi, Rowlands, Thomas, Faghih-Mirzaei, Nazanin, Posma, Joram, Beck, Tim

Poster presented at the 5th annual UK Healthcare Text Analytics Conference: HealTAC 2022.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b45fea3dc3d7eafb23c1ffde3d3a918

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Akademický článek

GWAS Central: an expanding resource for finding and visualising genotype and phenotype data from genome-wide association studies.

Autor: Beck, Tim, Rowlands, Thomas, Shorter, Tom, Brookes, Anthony J

Publikováno v: Nucleic Acids Research; 1/6/2023, Vol. 51 Issue D1, pD986-D993, 8p

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Auto-CORPus: Automated and Consistent Outputs from Research Publications

Autor: Li, Zhuoyu, Makraduli, Filip, Yeung, Cheng, McQuibban, Nicholas, Popovici, Casiana, Sun, Shujian, Hu, Yan, Rowlands, Thomas, Posma, Joram, Beck, Tim

Publikováno v: UK healthcare text analytics conference 2021

The availability of improved natural language processing (NLP) algorithms and models enable researchers to analyse larger corpora using open source tools. Text mining of biomedical literature is one area for which NLP has been used in recent years wi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b7d490df888c1f6e000fbb4c0a2ff57
http://hdl.handle.net/10044/1/93935

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