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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Autores principales: 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
Otros Autores: U-Biopred Study Group And The Etriks Consortium
Formato: Journal article
Lenguaje:English
Publicado: BioMed Central 2018

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