Big Data Analysis on Puerto Rico Testsite for Exploring Contamination Threats

نویسندگان

  • Xiangyu Li
  • Leiming Yu
  • David Kaeli
  • Yuanyuan Yao
  • Poguang Wang
  • Roger Giese
  • Akram Alshawabkeh
چکیده

In this paper, we present the use of Principal Component Analysis and customized software, to accelerate the spectral analysis of biological samples. The work is part of the mission of the National Institute of Environmental Health Sciences sponsored Puerto Rico Testsite for Exploring Contamination Threats Center, establishing linkages between environmental pollutants and preterm birth. This paper provides an overview of the data repository developed for the Center, and presents a use case analysis of biological sample data maintained in the database system. Keywords–non-targeted analysis; principal component analysis; environmental health.

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تاریخ انتشار 2015