| Literature DB >> 31022372 |
Samson H Fong1, Daniel E Carlin2, Kivilcim Ozturk3, Trey Ideker4.
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.Entities:
Mesh：
Year: 2019 PMID： 31022372 PMCID： PMC6764759 DOI： 10.1016/j.cels.2019.03.013
Source DB: PubMed Journal: Cell Syst ISSN： 2405-4712 Impact factor: 10.304