A large scale analysis of information-theoretic network complexity measures using chemical structures.
This paper aims to investigate information-theoretic network complexity measures which have already been intensely used in mathematical- and medicinal chemistry including drug design. Numerous such measures have been developed so far but many of them lack a meaningful interpretation, e.g., we want t...
Main Authors: | Matthias Dehmer, Nicola Barbarini, Kurt Varmuza, Armin Graber |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2009-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC2790089?pdf=render |
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