MeKE: discovering the functions of gene products from biomedical literature via sentence alignment
MeKE: discovering the functions of gene products from biomedical literature via sentence alignment
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DOI：
10.1093/bioinformatics/btg160
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发表时间：
2003-07-22
期刊：
影响因子：
5.8
通讯作者：
Yu, HC
中科院分区：
文献类型：
--
作者：
Chiang, JH;Yu, HC
动机：关于基因产物在细胞中作用的研究正在迅速积累和变化，但大多数结果仍然以文本形式报道，不能直接通过计算机访问。因此，为了加快功能生物信息学的进展，有效地处理大量的生物医学文献并将提取的知识转化为生物学家和医学研究人员可用的结构化格式是非常重要的。我们的目标是开发一个智能文本挖掘系统，将提取生物医学文献知识的基因产品的功能，从而促进计算与function.Results：我们已经开发了一个基于本体的文本挖掘系统，有效地提取生物医学文献知识的基因产品的功能。我们还提出了句子对齐和句子分类的方法来发现数字文本中讨论的基因产物的功能。
Motivation: Research on roles of gene products in cells is accumulating and changing rapidly, but most of the results are still reported in text form and are not directly accessible by computers. To expedite the progress of functional bioinformatics, it is, therefore, important to efficiently process large amounts of biomedical literature and transform the knowledge extracted into a structured format usable by biologists and medical researchers. Our aim was to develop an intelligent text-mining system that will extract from biomedical documents knowledge about the functions of gene products and thus facilitate computing with function.Results: We have developed an ontology-based text-mining system to efficiently extract from biomedical literature knowledge about the functions of gene products. We also propose methods of sentence alignment and sentence classification to discover the functions of gene products discussed in digital texts.