2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/84745Motivated by recent experimental developments in functional genomics, we construct and test a numerical technique for inferring it process pathways, in which one process calls another process, from time series data. We validate using a case in which data are readily available and formulate an extension, appropriate for genetic regulatory networks, which exploits Bayesian inference and in which the present--day undersampling is compensated for by prior understanding of genetic regulation.Biological PhysicsData Analysis, Statistics and ProbabilityGenomicsQuantitative Methodstext