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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Detalhes bibliográficos
Principais autores:	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 em:	BioMed Central 2018

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

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