ReviewCOMPUTATIONAL BIOLOGY

Computational Approaches for Analyzing Information Flow in Biological Networks

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Science Signaling  17 Apr 2012:
Vol. 5, Issue 220, pp. re1
DOI: 10.1126/scisignal.2002961

Article Information

vol. 5 no. 220 re1

DOI: 
https://doi.org/10.1126/scisignal.2002961
PubMed: 
22510471
Published By: 
Science Signaling
Print ISSN: 
1945-0877
Online ISSN: 
1937-9145
History: 
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Copyright © 2012, American Association for the Advancement of Science

Author Information

  1. Boris Kholodenko1,
  2. Michael B. Yaffe2, and
  3. Walter Kolch1,3,*
  1. 1Systems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland.
  2. 2Departments of Biology and Biological Engineering, David H. Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 76-353, Cambridge, MA 02139, USA.
  3. 3Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland.
  1. ↵*Corresponding author. E-mail: walter.kolch{at}ucd.ie

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  • Computational Approaches for Analyzing Information Flow in Biological Networks

    By Boris Kholodenko, Michael B. Yaffe, Walter Kolch

    Science Signaling : re1

    Signaling network construction and analysis provide insights into biology and medicine.

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