activity
20032009
most citedCritical Networks Exhibit Maximal Information Diversity in Structure-Dynamics Relationships

94 citations · 252 across the 9 of their papers we have counts for

collaborators

10 papers

cond-mat.dis-nn2009

Dynamical systems analysis of stack filters

Matti Nykter, Juha Kesseli, Ilya Shmulevich

We study classes of dynamical systems that can be obtained by constructing recursive networks with monotone Boolean functions. Stack filters in nonlinear signal processing are spec…

cs.IT2008★ 8 cited

Set-based complexity and biological information

David J. Galas, Matti Nykter, Gregory W. Carter +2

It is not obvious what fraction of all the potential information residing in the molecules and structures of living systems is significant or meaningful to the system. Sets of rand…

cond-mat.dis-nn2008★ 94 cited

Critical Networks Exhibit Maximal Information Diversity in Structure-Dynamics Relationships

Matti Nykter, Nathan D. Price, Antti Larjo +4

Network structure strongly constrains the range of dynamic behaviors available to a complex system. These system dynamics can be classified based on their response to perturbations…

cond-mat.dis-nn2007★ 32 cited

Entropy of complex relevant components of Boolean networks

P. Krawitz, I. Shmulevich

Boolean network models of strongly connected modules are capable of capturing the high regulatory complexity of many biological gene regulatory circuits. We study numerically the p…

q-bio.QM2007★ 18 cited

ProbCD: enrichment analysis accounting for categorization uncertainty

Ricardo Vêncio, Ilya Shmulevich

As in many other areas of science, systems biology makes extensive use of statistical association and significance estimates in contingency tables, a type of categorical data analy…

q-bio.QM2007★ 14 cited

Simcluster: clustering enumeration gene expression data on the simplex space

Ricardo ZN Vêncio, Leonardo Varuzza, Carlos AB Pereira +2

Transcript enumeration methods such as SAGE, MPSS, and sequencing-by-synthesis EST ``digital northern'', are important high-throughput techniques for digital gene expression measur…