School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Pharmacogenomics. 2011 Feb;12(2):155-7. doi: 10.2217/pgs.10.210.
In the next decade, biomarker research is increasingly likely to incorporate multivariate associations utilizing diverse molecular data types. This meeting surveyed some emerging technologies for profiling on the genomic scale in hundreds of patients, discussed the computational challenges in data reduction and interaction analysis and collated numerous success stories where multiple markers jointly associate with disease.
在未来十年,生物标志物研究越来越有可能利用多种分子数据类型纳入多变量关联。本次会议调查了一些新兴技术,这些技术可以在数百名患者中进行基因组规模的分析,讨论了数据减少和相互作用分析方面的计算挑战,并整理了多个多个标志物共同与疾病相关联的成功案例。