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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	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
مؤلفون آخرون:	U-Biopred Study Group And The Etriks Consortium
التنسيق:	Journal article
اللغة:	English
منشور في:	BioMed Central 2018

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

مواد مشابهة