Scientific article
Open access

Extracting Insight from Noisy Cellular Networks

Published inCell, vol. 155, no. 5, p. 983-989
Publication date2013-11-21

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.

Affiliation Not a UNIGE publication
Citation (ISO format)
LANDRY, Christian R. et al. Extracting Insight from Noisy Cellular Networks. In: Cell, 2013, vol. 155, n° 5, p. 983–989. doi: 10.1016/j.cell.2013.11.003
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Article (Published version)
ISSN of the journal0092-8674

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