Text-mining to produce large chemistry datasets for community access

被引：0
|
作者：
Williams, Antony [2 ]
Lowe, Daniel [1 ]
Tetko, Igor [3 ]
Coba, Carlos [4 ]
Tkachenko, Valery [2 ]
Pshenichnov, Alexey [2 ]
Karapetyan, Ken [2 ]
机构：
[1] NextMove Software, Cambridge, England
[2] Royal Soc Chem, Technol, Wake Forest, NC USA
[3] HelmholtzZentrum Munchen, Munich, Germany
[4] Mestrelab Res, Santiago De Compostela, Spain
来源：
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY | 2015年 / 250卷
关键词：
D O I：
暂无
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
58
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页数：1
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