S-system parameter estimation for noisy metabolic profiles using Newton-flow analysis

Article Properties
Cite
Kutalik, Z., et al. “S-System Parameter Estimation for Noisy Metabolic Profiles Using Newton-Flow Analysis”. IET Systems Biology, vol. 1, no. 3, 2007, pp. 174-80, https://doi.org/10.1049/iet-syb:20060064.
Kutalik, Z., Moulton, V., & Tucker, W. (2007). S-system parameter estimation for noisy metabolic profiles using Newton-flow analysis. IET Systems Biology, 1(3), 174-180. https://doi.org/10.1049/iet-syb:20060064
Kutalik Z, Moulton V, Tucker W. S-system parameter estimation for noisy metabolic profiles using Newton-flow analysis. IET Systems Biology. 2007;1(3):174-80.
Journal Categories
Medicine
Medicine (General)
Computer applications to medicine
Medical informatics
Science
Biology (General)
Science
Biology (General)
Cytology
Science
Chemistry
Organic chemistry
Biochemistry
Refrences
Title Journal Journal Categories Citations Publication Date
Title 2007
Title 2006
Title 2001
Title 2007
Title 2006
Citations
Title Journal Journal Categories Citations Publication Date
Modelling Cell Metabolism: A Review on Constraint-Based Steady-State and Kinetic Approaches

 Processes
  • Technology: Chemical technology: Chemical engineering
  • Technology: Chemical technology: Chemical engineering
  • Science: Chemistry
 27 2021
From Escherichia coli mutant 13C labeling data to a core kinetic model: A kinetic model parameterization pipeline PLOS Computational Biology
  • Science: Biology (General)
  • Science: Chemistry: Organic chemistry: Biochemistry
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Science: Biology (General)
  • Science: Chemistry: Organic chemistry: Biochemistry
 24 2019
Comprehensive Review of Models and Methods for Inferences in Bio-Chemical Reaction Networks Frontiers in Genetics
  • Science: Biology (General): Genetics
  • Science: Biology (General): Genetics
  • Science: Biology (General): Genetics
 23 2019
Evaluation of an S-system root-finding method for estimating parameters in a metabolic reaction model Mathematical Biosciences
  • Science: Biology (General)
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Science: Biology (General)
  • Science: Chemistry: Organic chemistry: Biochemistry
 3 2018
Kriging-Based Parameter Estimation Algorithm for Metabolic Networks Combined with Single-Dimensional Optimization and Dynamic Coordinate Perturbation IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • Science: Chemistry: Organic chemistry: Biochemistry
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2016
Citations Analysis
Category Category Repetition
Science: Biology (General)19
Medicine: Medicine (General): Computer applications to medicine. Medical informatics17
Science: Chemistry: Organic chemistry: Biochemistry16
Science: Mathematics: Instruments and machines: Electronic computers. Computer science9
Technology: Chemical technology: Biotechnology5
Technology: Engineering (General). Civil engineering (General)4
Technology: Mechanical engineering and machinery3
Medicine: Medicine (General): Medical technology2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Medicine1
Science1
Science: Science (General)1
Science: Biology (General): Genetics1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Science: Mathematics1
Technology: Chemical technology: Chemical engineering1
Science: Chemistry1
The category Science: Biology (General) 19 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled System estimation from metabolic time-series data and was published in 2008. The most recent citation comes from a 2021 study titled Modelling Cell Metabolism: A Review on Constraint-Based Steady-State and Kinetic Approaches. This article reached its peak citation in 2014, with 7 citations. It has been cited in 22 different journals, 22% of which are open access. Among related journals, the Mathematical Biosciences cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year