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Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd

Wang, Zichen ; Monteiro, Caroline D. ; Jagodnik, Kathleen M. ; Fernandez, Nicolas F. ; Gundersen, Gregory W. ; Rouillard, Andrew D. ; Jenkins, Sherry L. ; Feldmann, Axel S. ; Hu, Kevin S. ; McDermott, Michael G. ; Duan, Qiaonan ; Clark, Neil R. ; Jones, Matthew R. ; Kou, Yan ; Goff, Troy ; Woodland, Holly ; Amaral, Fabio M. R. ; Szeto, Gregory L. ; Fuchs, Oliver ; Schüssler-Fiorenza Rose, Sophia M. ; Sharma, Shvetank ; Schwartz, Uwe ; Bausela, Xabier Bengoetxea ; Szymkiewicz, Maciej ; Maroulis, Vasileios ; Salykin, Anton ; Barra, Carolina M. ; Kruth, Candice D. ; Bongio, Nicholas J. ; Mathur, Vaibhav ; Todoric, Radmila D. ; Rubin, Udi E. ; Malatras, Apostolos ; Fulp, Carl T. ; Galindo, John A. ; Motiejunaite, Ruta ; Jüschke, Christoph ; Dishuck, Philip C. ; Lahl, Katharina ; Jafari, Mohieddin ; Aibar, Sara ; Zaravinos, Apostolos ; Steenhuizen, Linda H. ; Allison, Lindsey R. ; Gamallo, Pablo ; de Andres Segura, Fernando ; Dae Devlin, Tyler ; Pérez-García, Vicente ; Ma’ayan, Avi



Abstract

Gene expression data are accumulating exponentially in public repositories. Reanalysis and integration of themed collections from these studies may provide new insights, but requires further human curation. Here we report a crowdsourcing project to annotate and reanalyse a large number of gene expression profiles from Gene Expression Omnibus (GEO). Through a massive open online course on ...

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