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

Authors
Type
Published Article
Journal
Cell
Publisher
Elsevier
Volume
144
Issue
6
Pages
860–863
Identifiers
DOI: 10.1016/j.cell.2011.03.007
Source
Ideker Lab
License
Unknown

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.

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