Stanford Institute for Immunity, Transplantation, and Infection, Stanford University, Stanford, California, USA.
Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, California, USA.
Sci Rep. 2018 Jan 22;8(1):1362. doi: 10.1038/s41598-018-19333-x.
We found tremendous inequality across gene and protein annotation resources. We observed that this bias leads biomedical researchers to focus on richly annotated genes instead of those with the strongest molecular data. We advocate that researchers reduce these biases by pursuing data-driven hypotheses.
我们发现基因和蛋白质注释资源存在巨大的不平等现象。我们观察到，这种偏见导致生物医学研究人员专注于注释丰富的基因，而不是那些具有最强分子数据的基因。我们主张研究人员通过追求数据驱动的假设来减少这些偏见。
