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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 3, 2012
Neural population densities shape network correlationsJérémie Lefebvre, Theodore J PerkinsBMC Proceedings|February 26, 2014
Adaptive bandwidth kernel density estimation for next-generation sequencing dataParameswaran Ramachandran, Theodore J PerkinsIEEE/ACM Transactions on Computational Biology and Bioinformatics|February 13, 2010
A trade-off between sample complexity and computational complexity in learning Boolean networks from time-series dataTheodore J Perkins, Michael T HallettPlos Computational Biology|April 26, 2008
Implementing arithmetic and other analytic operations by transcriptional regulationSean M Cory, Theodore J PerkinsMolecular Systems Biology|November 19, 2009
Strategies for cellular decision-makingTheodore J Perkins, Peter S SwainJournal of Theoretical Biology|October 7, 2023
A Markov constraint to uniquely identify elementary flux mode weights in unimolecular metabolic networksJustin G Chitpin, Theodore J PerkinsCell Reports Methods|May 22, 2026
Atomic elementary flux modes explain the steady state flow of metabolites in large-scale flux networksJustin G Chitpin, Theodore J PerkinsThe Journal of Physiology|December 15, 2015
Predicting the risk of sudden cardiac deathClaudia Lerma, Leon GlassJournal of Mathematical Biology|May 26, 2009
Structural principles for periodic orbits in glass networksLinghong Lu, Roderick EdwardsPageof 17