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基于文本挖掘技术探测胰岛淀粉样多肽的研究趋势

Detecting the research trend of islet amyloid polypeptide with text mining technique
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摘要 胰岛淀粉样多肽是2型糖尿病的重要致病原因之一.为了研究胰岛淀粉样多肽的生物学作用及其应用范围,本文拟通过文本挖掘技术来对胰岛淀粉样多肽生化用专业试剂和试剂盒检测的研究发展趋势进行探测. Islet amyloid polypeptide （lAPP） is an important etiologic factor for the type 2 dia- betes mellitus. To investigate the biological functions and the applications of IAPP, we used text mining to explore the development of the research about IAPP biochemical reagents and test kits in this study.
作者 殷蜀梅 李春英
机构地区 [
出处 《中华医学科研管理杂志》 2014年第2期162-166,共5页 Chinese Journal of Medical Science Research Management
基金 “十一五”国家科技支撑计划重点项目“科研用核心试剂产业化示范”课题成果（2009BAK61B01）
关键词 文本挖掘 胰岛淀粉样多肽 趋势预测 Text mining Islet amyloid polypeptide Emerging trend detecting
分类号 R3411 [医药卫生—基础医学]
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参考文献4

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二级参考文献10

  • 1陆伟,夏立新.基于OKAPI的XML信息检索实现研究[J].中国图书馆学报,2006,32(4):60-64. 被引量：8
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中华医学科研管理杂志
2014年 第2期

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