Carmen Armero

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Understanding the aspects of the cell functionality that account for disease or drug action mechanisms is one of the main challenges in the analysis of genomic data and is on the basis of the future implementation of precision medicine. Here we propose a simple probabilistic model in which signaling pathways are separated into elementary sub-pathways or(More)
In this paper we analyse the renal transplant waiting list of the País Valencià in Spain, using Queueing theory. The customers of this queue are patients with end-stage renal failure waiting for a kidney transplant. We set up a simplified model to represent the flow of the customers through the system, and perform Bayesian inference to estimate parameters(More)
We exploit Bayesian criteria for designing an M/M/c//r queueing system with spares. This problem arises in many applications of the so-called machine interference problem, like job-shop type systems, telecommunication traffic, semiconductor manufacturing and transport. We exemplify our approach by a problem from aero-nautic maintenance, where the numbers of(More)
Bulk service queues and simulation tools have been used to analyze the congestion of the waiting list for renal transplants in the PaísValencì a, Spain, from January 1997 to December 1999. The main characteristics of the queue model are the arrivals of patients onto the waiting list, the process of cadaveric donations, and the number of kidneys, either one(More)