Display options
Cite
Markowetz F, Troyanskaya OG. Computational identification of cellular networks and pathways. Mol Biosyst. 2007;3(7):478-82doi: 10.1039/b617014p.
Markowetz, F., & Troyanskaya, O. G. (2007). Computational identification of cellular networks and pathways. Molecular bioSystems, 3(7), 478-82. https://doi.org/10.1039/b617014p
Markowetz, Florian, and Troyanskaya, Olga G. "Computational identification of cellular networks and pathways." Molecular bioSystems vol. 3,7 (2007): 478-82. doi: https://doi.org/10.1039/b617014p
Markowetz F, Troyanskaya OG. Computational identification of cellular networks and pathways. Mol Biosyst. 2007 Jul;3(7):478-82. doi: 10.1039/b617014p. Epub 2007 May 14. PMID: 17579773.
Copy Download .nbib Format: NLM
Share it on

Mol Biosyst. 2007 Jul;3(7):478-82. doi: 10.1039/b617014p. Epub 2007 May 14.

Computational identification of cellular networks and pathways.

Molecular bioSystems

Florian Markowetz, Olga G Troyanskaya

Affiliations

  1. Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.

PMID: 17579773 DOI: 10.1039/b617014p

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.

MeSH terms

Publication Types