Metabolic network segmentation: A probabilistic graphical modeling approach to identify the sites and sequential order of metabolic regulation from non-targeted metabolomics data

Andreas Kühne, Urs Mayr, Daniel C. Sévin, Manfred Claassen, Nicola Zamboni. Metabolic network segmentation: A probabilistic graphical modeling approach to identify the sites and sequential order of metabolic regulation from non-targeted metabolomics data. PLoS Computational Biology, 13(6), 2017. [doi]

@article{KuhneMSCZ17,
  title = {Metabolic network segmentation: A probabilistic graphical modeling approach to identify the sites and sequential order of metabolic regulation from non-targeted metabolomics data},
  author = {Andreas Kühne and Urs Mayr and Daniel C. Sévin and Manfred Claassen and Nicola Zamboni},
  year = {2017},
  doi = {10.1371/journal.pcbi.1005577},
  url = {https://doi.org/10.1371/journal.pcbi.1005577},
  researchr = {https://researchr.org/publication/KuhneMSCZ17},
  cites = {0},
  citedby = {0},
  journal = {PLoS Computational Biology},
  volume = {13},
  number = {6},
}