Assessment of network module identification across complex diseases

In this DREAM challenge, 75 methods for the identification of disease-relevant modules from molecular networks are compared and validated with GWAS data. The authors provide practical guidelines for users and establish benchmarks for network analysis.

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Main Authors: Choobdar, Sarvenaz (Author) , Ahsen, Mehmet Eren (Author) , Crawford, Jake (Author) , Tomasoni, Mattia (Author) , Fang, Tao (Author) , Lamparter, David (Author) , Lin, Junyuan (Author) , Hescott, Benjamin (Author) , Hu, Xiaozhe (Author) , Mercer, Johnathan (Author) , Natoli, Ted (Author) , Narayan, Rajiv (Author) , Subramanian, Aravind (Author) , Zhang, Jitao D. (Author) , Stolovitzky, Gustavo (Author) , Kutalik, Zoltán (Author) , Lage, Kasper (Author) , Slonim, Donna K. (Author) , Sáez Rodríguez, Julio (Author) , Cowen, Lenore J. (Author) , Bergmann, Sven (Author) , Marbach, Daniel (Author)
Format: Article (Journal)
Language:English
Published: 30 August 2019
In: Nature methods
Year: 2019, Volume: 16, Issue: 9, Pages: 843-852
ISSN:1548-7105
DOI:10.1038/s41592-019-0509-5
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1038/s41592-019-0509-5
Verlag, lizenzpflichtig, Volltext: https://www.nature.com/articles/s41592-019-0509-5
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Author Notes:Sarvenaz Choobdar, Mehmet E. Ahsen, Jake Crawford, Mattia Tomasoni, Tao Fang, David Lamparter, Junyuan Lin, Benjamin Hescott, Xiaozhe Hu, Johnathan Mercer, Ted Natoli, Rajiv Narayan, The DREAM Module Identification Challenge Consortium, Aravind Subramanian, Jitao D. Zhang, Gustavo Stolovitzky, Zoltán Kutalik, Kasper Lage, Donna K. Slonim, Julio Saez-Rodriguez, Lenore J. Cowen, Sven Bergmann and Daniel Marbach
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Summary:In this DREAM challenge, 75 methods for the identification of disease-relevant modules from molecular networks are compared and validated with GWAS data. The authors provide practical guidelines for users and establish benchmarks for network analysis.
Item Description:Gesehen am 14.04.2020
Physical Description:Online Resource
ISSN:1548-7105
DOI:10.1038/s41592-019-0509-5