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» QuACN: an R package for analyzing complex biological network...
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BIOINFORMATICS
2011
12 years 12 months ago
QuACN: an R package for analyzing complex biological networks quantitatively
Laurin A. J. Mueller, Karl G. Kugler, Andreas Dand...
BMCBI
2008
166views more  BMCBI 2008»
13 years 5 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
BMCBI
2007
153views more  BMCBI 2007»
13 years 5 months ago
An exploration of alternative visualisations of the basic helix-loop-helix protein interaction network
Background: Alternative representations of biochemical networks emphasise different aspects of the data and contribute to the understanding of complex biological systems. In this ...
Brian J. Holden, John W. Pinney, Simon C. Lovell, ...
SIGCOMM
2006
ACM
13 years 10 months ago
Systematic topology analysis and generation using degree correlations
Researchers have proposed a variety of metrics to measure important graph properties, for instance, in social, biological, and computer networks. Values for a particular graph met...
Priya Mahadevan, Dmitri V. Krioukov, Kevin R. Fall...
BMCBI
2010
233views more  BMCBI 2010»
13 years 5 months ago
Odefy -- From discrete to continuous models
Background: Phenomenological information about regulatory interactions is frequently available and can be readily converted to Boolean models. Fully quantitative models, on the ot...
Jan Krumsiek, Sebastian Pölsterl, Dominik M. ...