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

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

A wealth of gene expression data is publicly available, yet is little use without additional human curation. Ma’ayan and colleagues report a crowdsourcing project involving over 70 participants to annotate and analyse thousands of human disease-related gene expression datasets.

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Autores principales: Zichen Wang, Caroline D. Monteiro, Kathleen M. Jagodnik, Nicolas F. Fernandez, Gregory W. Gundersen, Andrew D. Rouillard, Sherry L. Jenkins, Axel S. Feldmann, Kevin S. Hu, Michael G. McDermott, Qiaonan Duan, Neil R. Clark, Matthew R. Jones, Yan Kou, Troy Goff, Holly Woodland, Fabio M R. Amaral, Gregory L. Szeto, Oliver Fuchs, Sophia M. Schüssler-Fiorenza Rose, Shvetank Sharma, Uwe Schwartz, Xabier Bengoetxea Bausela, Maciej Szymkiewicz, Vasileios Maroulis, Anton Salykin, Carolina M. Barra, Candice D. Kruth, Nicholas J. Bongio, Vaibhav Mathur, Radmila D Todoric, Udi E. Rubin, Apostolos Malatras, Carl T. Fulp, John A. Galindo, Ruta Motiejunaite, Christoph Jüschke, Philip C. Dishuck, Katharina Lahl, Mohieddin Jafari, Sara Aibar, Apostolos Zaravinos, Linda H. Steenhuizen, Lindsey R. Allison, Pablo Gamallo, Fernando de Andres Segura, Tyler Dae Devlin, Vicente Pérez-García, Avi Ma’ayan
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2016
Materias:
Science
Q
Acceso en línea:https://doaj.org/article/a8f2b28d890e4a0e99fc75b9634da8c0
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