Zhang Yuji, Zhu Qian, Liu Hongfang
Division of Biostatistics and Bioinformatics, University of Maryland Greenebaum Cancer Center, Baltimore, USA ; Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, USA.
Department of Information Systems, University of Maryland, Baltimore County, Baltimore, MD USA.
BioData Min. 2015 Nov 3;8:34. doi: 10.1186/s13040-015-0064-2. eCollection 2015.
The rise of data-intensive biology, advances in informatics technology, and changes in the way health care is delivered has created an compelling opportunity to allow us investigate biomedical questions in the context of "big data" and develop knowledge systems to support precision medicine. To promote such data mining and informatics technology development in precision medicine, we hosted two international informatics workshops in 2014: 1) the first workshop on Data Mining in Biomedical informatics and Healthcare, in conjunction with the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), and 2) the first workshop on Translational biomedical and clinical informatics, in conjunction with the 8th International Conference on Systems Biology and the 4th Translational Bioinformatics Conference (ISB/TBC 2014). This thematic issue of BioData Mining presents a series of selected papers from these two international workshops, aiming to address the data mining needs in the informatics field due to the deluge of "big data" generated by next generation biotechnologies such as next generation sequencing, metabolomics, and proteomics, as well as the structured and unstructured biomedical and healthcare data from electronic health records. We are grateful for the BioData Mining's willingness to produce this forward-looking thematic issue.
数据密集型生物学的兴起、信息技术的进步以及医疗保健服务方式的变化,为我们在“大数据”背景下研究生物医学问题并开发支持精准医学的知识系统创造了绝佳机遇。为推动精准医学中的此类数据挖掘和信息技术发展,我们在2014年举办了两次国际信息学研讨会:1)与第18届太平洋-亚洲知识发现与数据挖掘会议(PAKDD 2014)联合举办的第一届生物医学信息学与医疗保健数据挖掘研讨会;2)与第8届系统生物学国际会议和第4届转化生物信息学会议(ISB/TBC 2014)联合举办的第一届转化生物医学与临床信息学研讨会。《生物数据挖掘》的这一专题刊载了这两次国际研讨会的一系列精选论文,旨在满足信息学领域因下一代测序、代谢组学和蛋白质组学等下一代生物技术产生的海量“大数据”以及电子健康记录中的结构化和非结构化生物医学与医疗保健数据所引发的数据挖掘需求。我们感谢《生物数据挖掘》愿意出版这一具有前瞻性的专题。