Inferring phenomenological models of first passage processes

Biochemical processes in cells are governed by complex networks of many chemical species interacting stochastically in diverse ways and on different time scales. Constructing microscopically accurate models of such networks is often infeasible. Instead, here we propose a systematic framework for bui...

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Veröffentlicht in:	PLoS computational biology 2021-03, Vol.17 (3), p.e1008740-e1008740
Hauptverfasser:	Rivera, Catalina, Hofmann, David, Nemenman, Ilya
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological activity Biology and Life Sciences Computational biology Cytochemistry Datasets Methods Model testing Observations Perturbation Phenomenology Physical Sciences Probability distribution Qualitative research Research and Analysis Methods Stochastic processes
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