Silence on the relevant literature and errors in implementation

Authors
  • K.H. Cho
  • C. Cosentino
  • A. de la Fuente
  • J.B. Hoek
  • A. Kiyatkin
  • S. Klamt
  • W. Kolch
  • S. Legewie
  • P. Mendes
  • T. Naka
  • T. Santra
  • E. Sontag
  • H.V. Westerhoff
  • B.N. Kholodenko
Publication date 04-2015
Journal Nature Biotechnology
Volume | Issue number 33 | 4
Pages (from-to) 336-339
Organisations
  • Faculty of Science (FNWI) - Swammerdam Institute for Life Sciences (SILS)
Abstract In the August 2013 issue of this journal, Barzel & Barabási reported a method for reconstructing network topologies. Here we show that the Barzel & Barabási method is a variant of a previously published method, modular response analysis (MRA). We also demonstrate that the implementation of their algorithm using statistical similarity measures as a proxy for global network responses to perturbations is erroneous and its performance is overestimated.
Document type Comment/Letter to the editor
Note With supplementary information. - Comment to: B. Barzel, A.-L. Barabási (2013) Network link prediction by global silencing of indirect correlations, In: Nat. Biotechnol. 31, 720–725.
Language English
Published at
https://doi.org/10.1038/nbt.3185 (Final published version)
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