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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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Publication details

The article was first published on 14 May 2007


Article type: Highlight
DOI: 10.1039/B617014P
Citation: 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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