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Cell. 2011 Mar 18;144(6):860-3. doi: 10.1016/j.cell.2011.03.007.

Boosting signal-to-noise in complex biology: prior knowledge is power.

Author information

1
Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA. tideker@ucsd.edu

Abstract

A major difficulty in the analysis of complex biological systems is dealing with the low signal-to-noise inherent to nearly all large biological datasets. We discuss powerful bioinformatic concepts for boosting signal-to-noise through external knowledge incorporated in processing units we call filters and integrators. These concepts are illustrated in four landmark studies that have provided model implementations of filters, integrators, or both.

PMID:
21414478
PMCID:
PMC3102020
DOI:
10.1016/j.cell.2011.03.007
[Indexed for MEDLINE]
Free PMC Article

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