Alan Veliz-Cuba
Alan Veliz-Cuba
Associate Professor, University of Dayton
Verified email at - Homepage
Cited by
Cited by
Boolean models can explain bistability in the lac operon
A Veliz-Cuba, B Stigler
Journal of Computational Biology 18 (6), 783-794, 2011
Reduction of Boolean network models
A Veliz-Cuba
Journal of theoretical biology, 2011
The neural ring: an algebraic tool for analyzing the intrinsic structure of neural codes
C Curto, V Itskov, A Veliz-Cuba, N Youngs
Bulletin of mathematical biology 75, 1571-1611, 2013
Polynomial algebra of discrete models in systems biology
A Veliz-Cuba, AS Jarrah, R Laubenbacher
Bioinformatics 26 (13), 1637-1643, 2010
ADAM: Analysis of discrete models of biological systems using computer algebra
F Hinkelmann, M Brandon, B Guang, R McNeill, G Blekherman, ...
BMC bioinformatics 12 (1), 295, 2011
Modeling Stochasticity and Variability in Gene Regulatory Networks
D Murrugarra, A Veliz-Cuba, B Aguilar, S Arat, R Laubenbacher
EURASIP Journal on Bioinformatics and Systems Biology, 2012
The dynamics of conjunctive and disjunctive Boolean network models
AS Jarrah, R Laubenbacher, A Veliz-Cuba
Bulletin of mathematical biology 72 (6), 1425-1447, 2010
Steady state analysis of Boolean molecular network models via model reduction and computational algebra
A Veliz-Cuba, B Aguilar, F Hinkelmann, R Laubenbacher
BMC bioinformatics 15, 1-8, 2014
Identification of control targets in Boolean molecular network models via computational algebra
D Murrugarra, A Veliz-Cuba, B Aguilar, R Laubenbacher
BMC systems biology 10, 1-11, 2016
The effect of negative feedback loops on the dynamics of Boolean networks
E Sontag, A Veliz-Cuba, R Laubenbacher, AS Jarrah
Biophysical Journal 95 (2), 518-526, 2008
Stochastic models of evidence accumulation in changing environments
A Veliz-Cuba, ZP Kilpatrick, K Josic
siam REVIEW 58 (2), 264-289, 2016
An algebraic approach to reverse engineering finite dynamical systems arising from biology
A Veliz-Cuba
SIAM Journal on Applied Dynamical Systems 11 (1), 31-48, 2012
Evolution of cellular differentiation: from hypotheses to models
P Márquez-Zacarías, RM Pineau, M Gomez, A Veliz-Cuba, D Murrugarra, ...
Trends in Ecology & Evolution 36 (1), 49-60, 2021
On the computation of fixed points in Boolean networks
A Veliz-Cuba, R Laubenbacher
Journal of Applied Mathematics and Computing 39, 145-153, 2012
Evidence accumulation and change rate inference in dynamic environments
AE Radillo, A Veliz-Cuba, K Josić, ZP Kilpatrick
Neural computation 29 (6), 1561-1610, 2017
Bistability and oscillations in co‐repressive synthetic microbial consortia
M Sadeghpour, A Veliz‐Cuba, G Orosz, K Josić, MR Bennett
Quantitative Biology 5 (1), 55-66, 2017
Networks that learn the precise timing of event sequences
A Veliz-Cuba, H Shouval, K Josic, ZP Kilpatrick
Journal of Computational Neuroscience 39 (3), 235-254, 2015
Sources of variability in a synthetic gene oscillator
A Veliz-Cuba, AJ Hirning, AA Atanas, F Hussain, F Vancia, K Josić, ...
PLoS computational biology 11 (12), e1004674, 2015
On the relationship of steady states of continuous and discrete models arising from biology
A Veliz-Cuba, J Arthur, L Hochstetler, V Klomps, E Korpi
Bulletin of mathematical biology 74, 2779-2792, 2012
Dimension reduction of large sparse AND-NOT network models
A Veliz-Cuba, B Aguilar, R Laubenbacher
Electronic Notes in Theoretical Computer Science 316, 83-95, 2015
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