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Issue 7, 2007
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Computational identification of cellular networks and pathways

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Abstract

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.

Graphical abstract: Computational identification of cellular networks and pathways

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First published
14 May 2007

Mol. BioSyst., 2007,3, 478-482
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Computational identification of cellular networks and pathways

F. Markowetz and O. G. Troyanskaya, Mol. BioSyst., 2007, 3, 478
DOI: 10.1039/B617014P

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