Testing, Diagnosing, Repairing, and Predicting from Regulatory Networks and Datasets

被引：0
|
作者：
Schaub, Torsten [1 ]
Siegel, Anne [2 ]
机构：
[1] Univ Potsdam, Potsdam, Germany
[2] CNRS, IRISA, Rennes, France
来源：
ERCIM NEWS | 2010年 / 82期
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We use expressive and highly efficient tools from the area of Knowledge Representation for dealing with contradictions occurring when confronting observations in large-scale (omic) datasets with information carried by regulatory networks.
引用
收藏
页码：30 / 31
页数：2
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