Alan Veliz-Cuba

According to our database, Alan Veliz-Cuba authored at least 21 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Unified Approach to Reverse Engineering and Data Selection for Unique Network Identification.

Alan Veliz-Cuba, Vanessa Newsome-Slade, Elena S. Dimitrova

SIAM J. Appl. Dyn. Syst., March, 2024

2022

An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE.

David Murrugarra, Alan Veliz-Cuba

Patterns, 2022

2019

Dynamics of semilattice networks with strongly connected dependency graph.

Alan Veliz-Cuba, Reinhard C. Laubenbacher

Autom., 2019

2017

Bistability and oscillations in co-repressive synthetic microbial consortia.

Mehdi Sadeghpour, Alan Veliz-Cuba, Gábor Orosz, Kresimir Josic, Matthew R. Bennett

Quant. Biol., 2017

Evidence Accumulation and Change Rate Inference in Dynamic Environments.

Adrian E. Radillo, Alan Veliz-Cuba, Kresimir Josic, Zachary P. Kilpatrick

Neural Comput., 2017

2016

Stochastic Models of Evidence Accumulation in Changing Environments.

Alan Veliz-Cuba, Zachary P. Kilpatrick, Kresimir Josic

SIAM Rev., 2016

The Number of Fixed Points of AND-OR Networks with Chain Topology.

Alan Veliz-Cuba, Lauren Geiser

CoRR, 2016

Identification of control targets in Boolean molecular network models via computational algebra.

David Murrugarra, Alan Veliz-Cuba, Boris Aguilar, Reinhard C. Laubenbacher

BMC Syst. Biol., 2016

2015

Sources of Variability in a Synthetic Gene Oscillator.

Alan Veliz-Cuba, Andrew J. Hirning, Adam A. Atanas, Faiza Hussain, Flavia Vancia, Kresimir Josic, Matthew R. Bennett

PLoS Comput. Biol., 2015

Networks that learn the precise timing of event sequences.

Alan Veliz-Cuba, Harel Z. Shouval, Kresimir Josic, Zachary P. Kilpatrick

J. Comput. Neurosci., 2015

2014

Algebraic Models and Their Use in Systems Biology.

Reinhard C. Laubenbacher, Franziska Hinkelmann, David Murrugarra, Alan Veliz-Cuba

Proceedings of the Discrete and Topological Models in Molecular Biology, 2014

Dimension Reduction of Large Sparse AND-NOT Network Models.

Alan Veliz-Cuba, Boris Aguilar, Reinhard C. Laubenbacher

Proceedings of the 5th International Workshop on Static Analysis and Systems Biology, 2014

Structure and dynamics of acyclic networks.

Alan Veliz-Cuba, David Murrugarra, Reinhard C. Laubenbacher

Discret. Event Dyn. Syst., 2014

Steady state analysis of Boolean molecular network models via model reduction and computational algebra.

Alan Veliz-Cuba, Boris Aguilar, Franziska Hinkelmann, Reinhard C. Laubenbacher

BMC Bioinform., 2014

2013

Dimension Reduction of Large AND-NOT Network Models.

Alan Veliz-Cuba, Reinhard C. Laubenbacher, Boris Aguilar

CoRR, 2013

2012

An Algebraic Approach to Reverse Engineering Finite Dynamical Systems Arising from Biology.

Alan Veliz-Cuba

SIAM J. Appl. Dyn. Syst., 2012

Modeling stochasticity and variability in gene regulatory networks.

David Murrugarra, Alan Veliz-Cuba, Boris Aguilar, Seda Arat, Reinhard C. Laubenbacher

EURASIP J. Bioinform. Syst. Biol., 2012

2011

Boolean Models Can Explain Bistability in the <i>lac</i> Operon.

Alan Veliz-Cuba, Brandilyn Stigler

J. Comput. Biol., 2011

On the relationship of steady states of continuous and discrete models

Alan Veliz-Cuba, Joseph Arthur, Laura Hochstetler, Victoria Klomps, Erikka Korpi

CoRR, 2011

ADAM: Analysis of Discrete Models of Biological Systems Using Computer Algebra.

Franziska Hinkelmann, Madison Brandon, Bonny Guang, Rustin McNeill, Grigoriy Blekherman, Alan Veliz-Cuba, Reinhard C. Laubenbacher

BMC Bioinform., 2011

2010

Polynomial algebra of discrete models in systems biology.

Alan Veliz-Cuba, Abdul Salam Jarrah, Reinhard C. Laubenbacher

Bioinform., 2010