activity
20042006
most citedScaling in Small-World Resistor Networks

41 citations · 59 across the 11 of their papers we have counts for

collaborators

11 papers

q-bio.GN2006★ 1 cited

Mathematic principles underlying genetic structures

Matthew J. Berryman

Many people are familiar with the physico-chemical properties of gene sequences. In this paper I present a mathematical perspective: how do mathematical principles such as informat…

cond-mat.stat-mech2005★ 41 cited

Scaling in Small-World Resistor Networks

G. Korniss, M. B. Hastings, K. E. Bassler +3

We study the effective resistance of small-world resistor networks. Utilizing recent analytic results for the propagator of the Edwards-Wilkinson process on small-world networks, w…

q-bio.NC2005★ 2 cited

Nonlinear aspects of the EEG during sleep in children

Matthew J. Berryman, Scott W. Coussens, Yvonne Pamula +7

Electroencephalograph (EEG) analysis enables the neuronal behavior of a section of the brain to be examined. If the behavior is nonlinear then nonlinear tools can be used to glean…

q-bio.PE2004★ 1 cited

Mutual information for examining correlations in DNA

Matthew J. Berryman, Andrew Allison, Derek Abbott

This paper examines two methods for finding whether long-range correlations exist in DNA: a fractal measure and a mutual information technique. We evaluate the performance and impl…

q-bio.CB2004★ 6 cited

Fluctuations and noise in cancer development

Matthew J. Berryman, Sabrina L. Spencer, Andrew Allison +1

This paper explores fluctuations and noise in various facets of cancer development. The three areas of particular focus are the stochastic progression of cells to cancer, fluctuati…

q-bio.PE2004

Stochastic evolution and multifractal classification of prokaryotes

Matthew J. Berryman, Andrew Allison, Derek Abbott

We introduce a model for simulating mutation of prokaryote DNA sequences. Using that model we can then evaluated traditional techniques like parsimony and maximum likelihood method…