Precision medicine is a promising field that proposes, in contrast to a one-size-fits-all approach, the tailoring of medical decisions, treatments or products. In this context, it is crucial to introduce innovative methods to stratify a population of patients on the basis of an accurate system-level knowledge of the disease. This is particularly important in very challenging conditions, where the use of standard statistical methods can be prevented by poor data availability or by the need of oversimplifying the processes regulating a complex disease.

A robust computational pipeline for model-based and data-driven phenotype clustering

Priami, Corrado;
2020

Abstract

Precision medicine is a promising field that proposes, in contrast to a one-size-fits-all approach, the tailoring of medical decisions, treatments or products. In this context, it is crucial to introduce innovative methods to stratify a population of patients on the basis of an accurate system-level knowledge of the disease. This is particularly important in very challenging conditions, where the use of standard statistical methods can be prevented by poor data availability or by the need of oversimplifying the processes regulating a complex disease.
Simoni, Giulia; Kaddi, Chanchala; Tao, Mengdi; Reali, Federico; Tomasoni, Danilo; Priami, Corrado; Azer, Karim; Neves-Zaph, Susana; Marchetti, Luca
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11568/1064686
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