Computational identification of cellular networks and pathways

被引:17
作者
Markowetz, Florian
Troyanskaya, Olga G. [1 ]
机构
[1] Princeton Univ, Lewis Sigler Inst Integrat Genon, Princeton, NJ 08544 USA
[2] Princeton Univ, Dept Comp Sci, Princeton, NJ 08544 USA
关键词
D O I
10.1039/b617014p
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
In this article we highlight recent developments in computational functional genomics to identify networks of functionally related genes and proteins based on diverse sources of genomic data. Our specific focus is on statistical methods to identify genetic networks. We discuss integrated analysis of microarray datasets, methods to combine heterogeneous data sources, the analysis of high-dimensional phenotyping screens and describe efforts to establish a reliable and unbiased gold standard for method comparison and evaluation.
引用
收藏
页码:478 / 482
页数:5
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