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

BACKGROUND: 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 integrated analysis of biological, clinical and...

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Detalles Bibliográficos
Autores principales: De Meulder, Bertrand, Lefaudeux, Diane, Bansal, Aruna T., Mazein, Alexander, Chaiboonchoe, Amphun, Ahmed, Hassan, Balaur, Irina, Saqi, Mansoor, Pellet, Johann, Ballereau, Stéphane, Lemonnier, Nathanaël, Sun, Kai, Pandis, Ioannis, Yang, Xian, Batuwitage, Manohara, Kretsos, Kosmas, van Eyll, Jonathan, Bedding, Alun, Davison, Timothy, Dodson, Paul, Larminie, Christopher, Postle, Anthony, Corfield, Julie, Djukanovic, Ratko, Chung, Kian Fan, Adcock, Ian M., Guo, Yi-Ke, Sterk, Peter J., Manta, Alexander, Rowe, Anthony, Baribaud, Frédéric, Auffray, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5975674/
https://www.ncbi.nlm.nih.gov/pubmed/29843806
http://dx.doi.org/10.1186/s12918-018-0556-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5975674/
https://www.ncbi.nlm.nih.gov/pubmed/29843806
http://dx.doi.org/10.1186/s12918-018-0556-z

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