吉尔达：作为一种服务的、带有机器学习消歧功能的生物医学实体文本规范化。
Gilda: biomedical entity text normalization with machine-learned disambiguation as a service.
作者信息
Gyori Benjamin M, Hoyt Charles Tapley, Steppi Albert
机构信息
Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA.
出版信息
Bioinform Adv. 2022 May 11;2(1):vbac034. doi: 10.1093/bioadv/vbac034. eCollection 2022.
SUMMARY
Gilda is a software tool and web service that implements a scored string matching algorithm for names and synonyms across entries in biomedical ontologies covering genes, proteins (and their families and complexes), small molecules, biological processes and diseases. Gilda integrates machine-learned disambiguation models to choose between ambiguous strings given relevant surrounding text as context, and supports species-prioritization in case of ambiguity.
AVAILABILITY AND IMPLEMENTATION
The Gilda web service is available at http://grounding.indra.bio with source code, documentation and tutorials available via https://github.com/indralab/gilda.
SUPPLEMENTARY INFORMATION
Supplementary data are available at online.
摘要
吉尔达（Gilda）是一种软件工具和网络服务，它针对生物医学本体中涵盖基因、蛋白质（及其家族和复合物）、小分子、生物过程和疾病的条目，实现了一种带评分的字符串匹配算法。吉尔达集成了机器学习消歧模型，以便在给定相关上下文文本的情况下，在模糊字符串之间进行选择，并在出现歧义时支持物种优先级排序。
可用性与实现方式
吉尔达网络服务可通过http://grounding.indra.bio获取，其源代码、文档和教程可通过https://github.com/indralab/gilda获取。
补充信息
补充数据可在网上获取。
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