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

页码：30 / 31

页数：2

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