Φορτώνει......

Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods

Characterization of decision-making in cells in response to received signals is of importance for understanding how cell fate is determined. The problem becomes multi-faceted and complex when we consider cellular heterogeneity and dynamics of biochemical processes. In this paper, we present a unifie...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Integr Biol (Camb)
Κύριοι συγγραφείς: Ozen, Mustafa, Lipniacki, Tomasz, Levchenko, Andre, Emamian, Effat S, Abdi, Ali
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Oxford University Press 2020
Θέματα:
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7240334/
https://ncbi.nlm.nih.gov/pubmed/32424393
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/intbio/zyaa009
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