Nathan D. Price

Orcid: 0000-0002-4157-0267

Affiliations:
  • Institute for Systems Biology, Seattle, WA, USA
  • University of Illinois, Department of Chemical and Biomolecular Engineering, Urbana, IL, USA
  • University of California San Diego, Department of Bioengineering, San Diego, CA, USA (PhD 2005)


According to our database1, Nathan D. Price authored at least 29 papers between 2006 and 2019.

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Bibliography

2019
OptRAM: In-silico strain design via integrative regulatory-metabolic network modeling.
PLoS Comput. Biol., 2019

2018
ProbAnnoWeb and ProbAnnoPy: probabilistic annotation and gap-filling of metabolic reconstructions.
Bioinform., 2018

Reproducible big data science: A case study in continuous FAIRness.
Proceedings of Workshop on Research Objects (RO2018), 2018

2016
Relative stability of network states in Boolean network models of gene regulation in development.
Biosyst., 2016

I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Integrated Modeling of Gene Regulatory and Metabolic Networks in <i>Mycobacterium tuberculosis</i>.
PLoS Comput. Biol., 2015

Comparative Analysis of Yeast Metabolic Network Models Highlights Progress, Opportunities for Metabolic Reconstruction.
PLoS Comput. Biol., 2015

Big biomedical data as the key resource for discovery science.
J. Am. Medical Informatics Assoc., 2015

2014
Likelihood-Based Gene Annotations for Gap Filling and Quality Assessment in Genome-Scale Metabolic Models.
PLoS Comput. Biol., 2014

2013
Multi-study Integration of Brain Cancer Transcriptomes Reveals Organ-Level Molecular Signatures.
PLoS Comput. Biol., 2013

Metabolic Constraint-Based Refinement of Transcriptional Regulatory Networks.
PLoS Comput. Biol., 2013

AUREA: an open-source software system for accurate and user-friendly identification of relative expression molecular signatures.
BMC Bioinform., 2013

Version 6 of the consensus yeast metabolic network refines biochemical coverage and improves model performance.
Database J. Biol. Databases Curation, 2013

2012
Reconstruction of genome-scale metabolic models for 126 human tissues using mCADRE.
BMC Syst. Biol., 2012

The top-scoring 'N' algorithm: a generalized relative expression classification method from small numbers of biomolecules.
BMC Bioinform., 2012

Network biology methods integrating biological data for translational science.
Briefings Bioinform., 2012

2011
Genetic Co-Occurrence Network across Sequenced Microbes.
PLoS Comput. Biol., 2011

Metabolic network reconstruction and genome-scale model of butanol-producing strain Clostridium beijerinckii NCIMB 8052.
BMC Syst. Biol., 2011

Graphics processing unit implementations of relative expression analysis algorithms enable dramatic computational speedup.
Bioinform., 2011

Session Introduction.
Proceedings of the Biocomputing 2011: Proceedings of the Pacific Symposium, 2011

2010
Introduction to the special issue on information theory in molecular biology and neuroscience.
IEEE Trans. Inf. Theory, 2010

Biological information as set-based complexity.
IEEE Trans. Inf. Theory, 2010

Identifying Tightly Regulated and Variably Expressed Networks by Differential Rank Conservation (DIRAC).
PLoS Comput. Biol., 2010

2009
Biological Data Integration and Model Building.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

2008
Set-based complexity and biological information
CoRR, 2008

2006
Matrix Formalism to Describe Functional States of Transcriptional Regulatory Systems.
PLoS Comput. Biol., 2006

Long-Range Periodic Patterns in Microbial Genomes Indicate Significant Multi-Scale Chromosomal Organization.
PLoS Comput. Biol., 2006

Metabolite coupling in genome-scale metabolic networks.
BMC Bioinform., 2006

Network-level analysis of metabolic regulation in the human red blood cell using random sampling and singular value decomposition.
BMC Bioinform., 2006


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