Using semantic search to find publicly available gene-expression datasets

Our analysis code and a Web-based tool that enables others to use our methodology are available from https://github.com/srp33/GEO_NLP and https://github.com/srp33/GEOfinder3.0, respectively.

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Publication Details

Journal
Bioinformatics
Published
2026-01-29
DOI
https://doi.org/10.1093/bioinformatics/btag053
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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Using semantic search to find publicly available gene-expression datasets

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Using semantic search to find publicly available gene-expression datasets

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article en

Abstract

Our analysis code and a Web-based tool that enables others to use our methodology are available from https://github.com/srp33/GEO_NLP and https://github.com/srp33/GEOfinder3.0, respectively.

BioinformaticsVol. 42(3)
Brigham Young University (US), University of British Columbia (CA), Texas A&M Health Science Center (US), Canada's Michael Smith Genome Sciences Centre (CA)
Openalex Percentile: Top 69%
Biomedical Text Mining and Ontologies
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