BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Enrico Bibbona (Politecnico di Torino) DTSTART:20220324T160000Z DTEND:20220324T163000Z DTSTAMP:20260421T124627Z UID:MoRN/51 DESCRIPTION:Title: Ba yesian inference of RNA life-cycle kinetic rates from sequencing data with multiple latent clustering\nby Enrico Bibbona (Politecnico di Torino) as part of Seminar on the Mathematics of Reaction Networks\n\n\nAbstract\ nWe here propose a hierarchical Bayesian model to infer RNA synthesis\, pr ocessing\, and degradation rates from sequencing data\, based on an ordina ry differential equation system that models the RNA life cycle.\nWe parame trize the latent kinetic rates\, that rule the system\, with a novel funct ional form\, and estimate their parameters through 6 Dirichlet process mix ture models. Owing to the complexity of this approach\, we are able to sim ultaneously perform inference\, clustering and model selection. We apply o ur method to investigate transcriptional and post-transcriptional response s of murine fibroblasts to the activation of proto-oncogene Myc. Our appro ach uncovers simultaneous regulations of the rates\, which had not previou sly been observed in this biological system.\n LOCATION:https://researchseminars.org/talk/MoRN/51/ END:VEVENT END:VCALENDAR