A computational framework for complex disease stratification from multiple large-scale datasets.

A computational framework for complex disease stratification from multiple large-scale datasets.

<p><strong>Background</strong><br/> Multilevel data integration is becoming a major area of research in systems biology. Within this area, multi-‘omics datasets on complex diseases are becoming more readily available and there is a need to set standards and good practices for...

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Detalles Bibliográficos
Main Authors: De Meulder, B, Lefaudeux, D, Bansal, A, Mazein, A, Chaiboonchoe, A, Ahmed, H, Balaur, I, Saqi, M, Pellet, J, Ballereau, S, Lemonnier, N, Sun, K, Pandis, I, Yang, X, Batuwitage, M, Kretsos, K, Van Eyll, J, Bedding, A, Davison, T, Dodson, P, Larminie, C, Postle, A, Corfield, J, Djukanovic, R, Chung, K, Adcock, I, Guo, Y, Sterk, P, Manta, A, Rowe, A, Baribaud, F, Auffray, C
Outros autores: U-Biopred Study Group And The Etriks Consortium
Formato: Journal article
Idioma:English
Publicado: BioMed Central 2018

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