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...

Полное описание

Библиографические подробности
Главные авторы: 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
Другие авторы: U-Biopred Study Group And The Etriks Consortium
Формат: Journal article
Язык:English
Опубликовано: BioMed Central 2018

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