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Fong SH, Carlin DE, Ozturk K. Strategies for Network GWAS Evaluated Using Classroom Crowd Science. Cell Syst. 2019;8(4):275-280doi: 10.1016/j.cels.2019.03.013.
Fong, S. H., Carlin, D. E., Ozturk, K., & Ideker, T. (2019). Strategies for Network GWAS Evaluated Using Classroom Crowd Science. Cell systems, 8(4), 275-280. https://doi.org/10.1016/j.cels.2019.03.013
Fong, Samson H, et al. "Strategies for Network GWAS Evaluated Using Classroom Crowd Science." Cell systems vol. 8,4 (2019): 275-280. doi: https://doi.org/10.1016/j.cels.2019.03.013
Fong SH, Carlin DE, Ozturk K, Ideker T. Strategies for Network GWAS Evaluated Using Classroom Crowd Science. Cell Syst. 2019 Apr 24;8(4):275-280. doi: 10.1016/j.cels.2019.03.013. PMID: 31022372; PMCID: PMC6764759.
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Cell Syst. 2019 Apr 24;8(4):275-280. doi: 10.1016/j.cels.2019.03.013.

Strategies for Network GWAS Evaluated Using Classroom Crowd Science.

Cell systems

Samson H Fong, Daniel E Carlin, Kivilcim Ozturk, Trey Ideker

Affiliations

  1. Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
  2. Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
  3. Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA; Program in Bioinformatics, University of California San Diego, La Jolla, CA 92093, USA.
  4. Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA; Program in Bioinformatics, University of California San Diego, La Jolla, CA 92093, USA. Electronic address: [email protected].

PMID: 31022372 PMCID: PMC6764759 DOI: 10.1016/j.cels.2019.03.013

Abstract

Biological networks can substantially boost power to identify disease genes in genome-wide association studies. To explore different network GWAS methods, we challenged students of a UC San Diego graduate level bioinformatics course, Network Biology and Biomedicine, to explore and improve such algorithms during a four-week-long classroom competition. Here, we report the many creative solutions and share our experiences in conducting classroom crowd science as both a research and pedagogical tool.

Copyright © 2019 Elsevier Inc. All rights reserved.

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