Computational Approaches for Analyzing Information Flow in Biological Networks | Science Signaling

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vol. 5 no. 220 re1

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https://doi.org/10.1126/scisignal.2002961

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Copyright © 2012, American Association for the Advancement of Science

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Boris Kholodenko¹,
Michael B. Yaffe², and
Walter Kolch¹,³,^*

¹Systems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland.
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.
³Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland.

↵*Corresponding author. E-mail: walter.kolch{at}ucd.ie

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Science Signaling: 5 (220)

Science Signaling

Vol 5, Issue 220
17 April 2012

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Computational Approaches for Analyzing Information Flow in Biological Networks

By Boris Kholodenko, Michael B. Yaffe, Walter Kolch

Science Signaling17 Apr 2012 : re1

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

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Computational Approaches for Analyzing Information Flow in Biological Networks

By Boris Kholodenko, Michael B. Yaffe, Walter Kolch

Science Signaling17 Apr 2012 : re1

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

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