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Using dynamic noise propagation to infer causal regulatory relationships in biochemical networks.

  • Author(s): El-Samad, Hana
  • Lipinski-Kruszka, J
  • Stewart-Ornstein, J
  • Chevalier, MW
  • et al.

Published Web Location

http://europepmc.org/articles/PMC4384829?pdf=render
No data is associated with this publication.
Abstract

Cellular decision making is accomplished by complex networks, the structure of which has traditionally been inferred from mean gene expression data. In addition to mean data, quantitative measures of distributions across a population can be obtained using

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