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20102022
most citedOn dynamic network entropy in cancer

176 citations · 510 across the 8 of their papers we have counts for

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Showing q-bio.MNShow all

5 papers · 1 filter

q-bio.MN2015★ 54 cited

Increased signaling entropy in cancer requires the scale-free property of protein interaction networks

Andrew E. Teschendorff, Christopher R. S. Banerji, Simone Severini +2

One of the key characteristics of cancer cells is an increased phenotypic plasticity, driven by underlying genetic and epigenetic perturbations. However, at a systems-level it is u…

q-bio.MN2014★ 88 cited

Signalling Entropy: a novel network-theoretical framework for systems analysis and interpretation of functional omic data

Andrew Teschendorff, Peter Sollich, Reimer Kuehn

A key challenge in systems biology is the elucidation of the underlying principles, or fundamental laws, which determine the cellular phenotype. Understanding how these fundamental…

q-bio.MN2013★ 157 cited

Cellular network entropy as the energy potential in Waddington's differentiation landscape

Christopher R. S. Banerji, Diego Miranda-Saavedra, Simone Severini +4

Differentiation is a key cellular process in normal tissue development that is significantly altered in cancer. Although molecular signatures characterising pluripotency and multip…

q-bio.MN2012★ 176 cited

On dynamic network entropy in cancer

James West, Ginestra Bianconi, Simone Severini +1

The cellular phenotype is described by a complex network of molecular interactions. Elucidating network properties that distinguish disease from the healthy cellular state is there…

q-bio.MN2010

Increased entropy of signal transduction in the cancer metastasis phenotype

Andrew Teschendorff, Simone Severini

Studies into the statistical properties of biological networks have led to important biological insights, such as the presence of hubs and hierarchical modularity. There is also a…