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Cell. 2013 Nov 21;155(5):983-9. doi: 10.1016/j.cell.2013.11.003.

Extracting insight from noisy cellular networks.

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1
Département de Biologie, IBIS and PROTEO, Pavillon Charles-Eugene-Marchand, 1030 Avenue de la Medecine, Laval University, Québec City, QC G1V 0A6, Canada.

Abstract

Network biologists attempt to extract meaningful relationships among genes or their products from very noisy data. We argue that what we categorize as noisy data may sometimes reflect noisy biology and therefore may shield a hidden meaning about how networks evolve and how matter is organized in the cell. We present practical solutions, based on existing evolutionary and biophysical concepts, through which our understanding of cell biology can be enormously enriched.

PMID:
24267884
DOI:
10.1016/j.cell.2013.11.003
[Indexed for MEDLINE]
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