Seeking a new biology through text mining

被引：57

作者：

Rzhetsky, Andrey ^{[1
]}

Seringhaus, Michael ^{[2
]}

Gerstein, Mark ^{[2
]}

机构：

[1] Univ Chicago, Chicago, IL 60637 USA

[2] Yale Univ, New Haven, CT 06510 USA

来源：

CELL | 2008年 / 134卷 / 01期

关键词：

D O I：

10.1016/j.cell.2008.06.029

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 [生物化学与分子生物学]; 081704 [应用化学];

摘要：

Tens of thousands of biomedical journals exist, and the deluge of new articles in the biomedical sciences is leading to information overload. Hence, there is much interest in text mining, the use of computational tools to enhance the human ability to parse and understand complex text.

引用

收藏

页码：9 / 13

页数：5

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