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Stochastic simulation and modelling of metabolic networks in a machine learning framework

Autor
Biba, M.; Xhafa, F.; Esposito, F.; Ferilli, S.
Tipus d'activitat
Article en revista
Revista
Simulation modelling practice and theory
Data de publicació
2011-10
Volum
19
Número
9
Pàgina inicial
1957
Pàgina final
1966
DOI
https://doi.org/10.1016/j.simpat.2011.05.002 Obrir en finestra nova
URL
https://www.sciencedirect.com/science/article/pii/S1569190X11000852 Obrir en finestra nova
Resum
Metabolomics is increasingly becoming an important field. The fundamental task in this area is to measure and interpret complex time and condition dependent parameters such as the activity or flux of metabolites in cells, their concentration, tissues elements and other biosamples. The careful study of all these elements has led to important insights in the functioning of metabolism. Recently, however, there is a growing interest towards an integrated approach to studying biological systems. This...
Paraules clau
Machine learning, Metabolic networks, Metabolomics, Probabilistic logic programming, Statistical relational learning, Stochastic simulation
Grup de recerca
ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals

Participants

  • Biba, Marenglen  (autor)
  • Xhafa Xhafa, Fatos  (autor)
  • Esposito, Floriana  (autor)
  • Ferilli, Stefano  (autor)