Identifying novel biomarkers through data mining-a realistic scenario?

Identifying novel biomarkers through data mining-a realistic scenario?
复制标题

DOI:
10.1002/prca.201400107
复制
发表时间:
2015-04
期刊:
Proteomics. Clinical applications
影响因子:
--
通讯作者:
Vizcaíno JA
Vizcaíno JA
中科院分区:
其他
文献类型:
--
作者:
Griss J;Perez-Riverol Y;Hermjakob H;Vizcaíno JA

文献摘要

被引文献

相似文献

在这篇文章中,我们讨论了使用已发表的蛋白质组学数据集的数据挖掘来帮助基于蛋白质组学的生物标志物发现的要求,使用外部数据集成来解决小样本量不足的问题,最后,我们试图估计仅通过数据挖掘识别新生物标志物的概率。
In this article we discuss the requirements to use data mining of published proteomics datasets to assist proteomics‐based biomarker discovery, the use of external data integration to solve the issue of inadequate small sample sizes and finally, we try to estimate the probability that new biomarkers will be identified through data mining alone.