Laurence Yang

Orcid: 0000-0001-6663-7643

Affiliations:
  • Queen's University, Kingston, Department of Chemical Engineering, Canada
  • University of Toronto, Department of Chemical Engineering and Applied Chemistry, Canada (former)


According to our database1, Laurence Yang authored at least 18 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
StressME: Unified computing framework of Escherichia coli metabolism, gene expression, and stress responses.
PLoS Comput. Biol., February, 2024

2023
GripNet: Graph information propagation on supergraph for heterogeneous graphs.
Pattern Recognit., 2023

2021
Computation of condition-dependent proteome allocation reveals variability in the macro and micro nutrient requirements for growth.
PLoS Comput. Biol., 2021

A dynamic metabolic map for diabetes.
Nat. Comput. Sci., 2021

Compound Screening with Deep Learning for Neglected Diseases: Leishmaniasis.
Proceedings of the Machine Learning in Computational Biology Meeting, 2021

2020
Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes.
BMC Bioinform., 2020

Visualizing metabolic network dynamics through time-series metabolomic data.
BMC Bioinform., 2020

2019
BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data.
PLoS Comput. Biol., 2019

Genome-scale model of metabolism and gene expression provides a multi-scale description of acid stress responses in Escherichia coli.
PLoS Comput. Biol., 2019

DynamicME: dynamic simulation and refinement of integrated models of metabolism and protein expression.
BMC Syst. Biol., 2019

Estimating Cellular Goals from High-Dimensional Biological Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
COBRAme: A computational framework for genome-scale models of metabolism and gene expression.
PLoS Comput. Biol., 2018

Genome-scale estimation of cellular objectives.
CoRR, 2018

2017
Biomarkers are used to predict quantitative metabolite concentration profiles in human red blood cells.
PLoS Comput. Biol., 2017

Utilizing biomarkers to forecast quantitative metabolite concentration profiles in human red blood cells.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2016
solveME: fast and reliable solution of nonlinear ME models.
BMC Bioinform., 2016

2010
Designing experiments from noisy metabolomics data to refine constraint-based models.
Proceedings of the American Control Conference, 2010

2008
A bilevel optimization algorithm to identify enzymatic capacity constraints in metabolic networks.
Comput. Chem. Eng., 2008


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