Alan Veliz-Cuba

Summary

Affiliation: University of Nebraska
Country: USA

Publications

  1. doi request reprint On the relationship of steady states of continuous and discrete models arising from biology
    Alan Veliz-Cuba
    University of Nebraska Lincoln, Lincoln, NE 68505, USA
    Bull Math Biol 74:2779-92. 2012
  2. doi request reprint Reduction of Boolean network models
    Alan Veliz-Cuba
    Department of Mathematics, University of Nebraska Lincoln, USA
    J Theor Biol 289:167-72. 2011
  3. doi request reprint Boolean models can explain bistability in the lac operon
    Alan Veliz-Cuba
    Department of Mathematics, University of Nebraska Lincoln, Lincoln, Nebraska, USA
    J Comput Biol 18:783-94. 2011
  4. pmc Modeling stochasticity and variability in gene regulatory networks
    David Murrugarra
    Department of Mathematics, Virginia Tech, Blacksburg, VA 24061 0123, USA
    EURASIP J Bioinform Syst Biol 2012:5. 2012
  5. doi request reprint Polynomial algebra of discrete models in systems biology
    Alan Veliz-Cuba
    Virginia Bioinformatics Institute, Department of Mathematics, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
    Bioinformatics 26:1637-43. 2010

Collaborators

Detail Information

Publications5

  1. doi request reprint On the relationship of steady states of continuous and discrete models arising from biology
    Alan Veliz-Cuba
    University of Nebraska Lincoln, Lincoln, NE 68505, USA
    Bull Math Biol 74:2779-92. 2012
    ..Our results also provide a novel method to analyze certain classes of nonlinear models using discrete mathematics...
  2. doi request reprint Reduction of Boolean network models
    Alan Veliz-Cuba
    Department of Mathematics, University of Nebraska Lincoln, USA
    J Theor Biol 289:167-72. 2011
    ..In particular, we use the reduction method to study steady states of Boolean networks and apply our results to models of Th-lymphocyte differentiation and the lac operon...
  3. doi request reprint Boolean models can explain bistability in the lac operon
    Alan Veliz-Cuba
    Department of Mathematics, University of Nebraska Lincoln, Lincoln, Nebraska, USA
    J Comput Biol 18:783-94. 2011
    ..This work suggests that the key to model qualitative dynamics of gene systems is the topology of the network and Boolean models are well suited for this purpose...
  4. pmc Modeling stochasticity and variability in gene regulatory networks
    David Murrugarra
    Department of Mathematics, Virginia Tech, Blacksburg, VA 24061 0123, USA
    EURASIP J Bioinform Syst Biol 2012:5. 2012
    ..We applied our methods to two of the most studied regulatory networks, the outcome of lambda phage infection of bacteria and the p53-mdm2 complex...
  5. doi request reprint Polynomial algebra of discrete models in systems biology
    Alan Veliz-Cuba
    Virginia Bioinformatics Institute, Department of Mathematics, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
    Bioinformatics 26:1637-43. 2010
    ..There is increasing evidence that such models can capture key dynamic features of biological networks and can be used successfully for hypothesis generation...