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Inter-species normalization of gene mentions with GNAT

机译:用GNAT对种提到的种间标准化

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摘要

Motivation: Text mining in the biomedical domain aims at helping researchers to access information contained in scientific publications in a faster, easier and more complete way. One step towards this aim is the recognition of named entities and their subsequent normalization to database identifiers. Normalization helps to link objects of potential interest, such as genes, to detailed information not contained in a publication; it is also key for integrating different knowledge sources. From an information retrieval perspective, normalization facilitates indexing and querying. Gene mention normalization (GN) is particularly challenging given the high ambiguity of gene names: they refer to orthologous or entirely different genes, are named after phenotypes and other biomedical terms, or they resemble common English words.
机译:动机:生物医学领域的文本挖掘旨在帮助研究人员以更快,更轻松和更完整的方式访问科学出版物中包含的信息。迈向这一目标的第一步是识别命名实体及其随后对数据库标识符的规范化。标准化有助于将潜在感兴趣的对象(例如基因)与出版物中未包含的详细信息相关联;这也是整合不同知识来源的关键。从信息检索的角度来看,规范化有助于索引和查询。鉴于基因名称的歧义性,基因提及归一化(GN)尤其具有挑战性:它们指的是直系同源或完全不同的基因,以表型和其他生物医学术语命名,或者类似于常见的英语单词。

著录项

  • 来源
    《Bioinformatics》 |2008年第16期|i126-i132|共7页
  • 作者单位

    Department of Computer Science and Engineering Arizona State University Tempe AZ 85287 USA;

    Biotechnological Centre Technische Universität Dresden Tatzberg 47–51 01307 Dresden;

    Transinsight GmbH Tatzberg 47–51 01307 Dresden Germany and;

    Department of Biomedical Informatics Arizona State University Phoenix AZ 85004 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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