| Literature DB >> 26677178 |
Mansoor Saqi1, Johann Pellet1, Irina Roznovat1, Alexander Mazein1, Stéphane Ballereau1, Bertrand De Meulder1, Charles Auffray2,3.
Abstract
Recent advances in genomics have led to the rapid and relatively inexpensive collection of patient molecular data including multiple types of omics data. The integration of these data with clinical measurements has the potential to impact on our understanding of the molecular basis of disease and on disease management. Systems medicine is an approach to understanding disease through an integration of large patient datasets. It offers the possibility for personalized strategies for healthcare through the development of a new taxonomy of disease. Advanced computing will be an important component in effectively implementing systems medicine. In this chapter we describe three computational challenges associated with systems medicine: disease subtype discovery using integrated datasets, obtaining a mechanistic understanding of disease, and the development of an informatics platform for the mining, analysis, and visualization of data emerging from translational medicine studies.Entities:
Keywords: Disease subtyping; P4 medicine; Patient stratification; Systems medicine; Translational informatics
Mesh：
Year: 2016 PMID： 26677178 DOI： 10.1007/978-1-4939-3283-2_3
Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745