GOGO: An improved algorithm to measure the semantic similarity between gene ontology terms

Research article (Scientific Reports, 2018) · cited 126× · AI/ML
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GOGO: An improved algorithm to measure the semantic similarity between gene ontology terms

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GOGO: An improved algorithm to measure the semantic similarity between gene ontology terms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). GOGO: An improved algorithm to measure the semantic similarity between gene ontology terms. Retrieved May 24, 2026, from https://4ort.xyz/entity/gogo-an-improved-algorithm-to-measure-the-semantic-similarity-between-gene-ontology-terms
MLA “GOGO: An improved algorithm to measure the semantic similarity between gene ontology terms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gogo-an-improved-algorithm-to-measure-the-semantic-similarity-between-gene-ontology-terms.
BibTeX @misc{4ortxyz_gogo-an-improved-algorithm-to-measure-the-semantic-similarity-between-gene-ontology-terms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GOGO: An improved algorithm to measure the semantic similarity between gene ontology terms}}, year = {2026}, url = {https://4ort.xyz/entity/gogo-an-improved-algorithm-to-measure-the-semantic-similarity-between-gene-ontology-terms}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GOGO: An improved algorithm to measure the semantic similarity between gene ontology terms — https://4ort.xyz/entity/gogo-an-improved-algorithm-to-measure-the-semantic-similarity-between-gene-ontology-terms (retrieved 2026-05-24)

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