Article
Assessment of network module identification across complex diseases.
Nature methods - 1 Sept 2019
Choobdar Sarvenaz, Ahsen Mehmet E, Crawford Jake, Tomasoni Mattia, Fang Tao, Lamparter David, Lin Junyuan, Hescott Benjamin, Hu Xiaozhe, Mercer Johnathan, Natoli Ted, Narayan Rajiv, Subramanian Aravind, Zhang Jitao D, Stolovitzky Gustavo, Kutalik Zoltán, Lage Kasper, Slonim Donna K, Saez-Rodriguez Julio, Cowen Lenore J, Bergmann Sven, Marbach Daniel
Abstract excerpt
Many bioinformatics methods have been proposed for reducing the complexity of large gene or protein networks into relevant subnetworks or modules. Yet, how such methods compare to each other in terms of their ability to identify disease-relevant modules in different types of network remains poorly understood. We launched the 'Disease Module Identification DREAM Challenge', an open competition to comprehensively...
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