Paper Info
Title
Harnessing Big Data for Precision Medicine: Infrastructures and Applications.
Abstract
Precision medicine is a health management approach that accounts for individual differences in genetic backgrounds and environmental exposures. With the recent advancements in high-throughput omics profiling technologies, collections of large study cohorts, and the developments of data mining algorithms, big data in biomedicine is expected to provide novel insights into health and disease states, which can be translated into personalized disease prevention and treatment plans. However, petabytes of biomedical data generated by multiple measurement modalities poses a significant challenge for data analysis, integration, storage, and result interpretation. In addition, patient privacy preservation, coordination between participating medical centers and data analysis working groups, as well as discrepancies in data sharing policies remain important topics of discussion. In this workshop, we invite experts in omics integration, biobank research, and data management to share their perspectives on leveraging big data to enable precision medicine.
Year
DOI
Venue
2017
10.1142/9789813207813_0058
Biocomputing Series
Field
DocType
Volume
Data science,Precision medicine,Biology,Big data
Conference
22
ISSN
Citations 
PageRank 
2335-6936
0
0.34
References 
Authors
3
6
Name
Order
Citations
PageRank
Kun-Hsing Yu1264.04
Steven N. Hart2162.55
r l goldfeder381.89
Qiangfeng Cliff Zhang4978.16
Stephen C. J. Parker510.70
Michael Snyder613826.15