Journal of Shanghai University(Natural Science Edition) ›› 2016, Vol. 22 ›› Issue (1): 17-27.doi: 10.3969/j.issn.1007-2861.2015.05.015

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Precision medicine and big data

GUO Yike1,2, YANG Xian2   

  1. 1. School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China; 2. Data Science Institute, Imperial College London, London SW7 2AZ, UK
  • Received:2016-01-12 Online:2016-02-29 Published:2016-02-29

Abstract:

To achieve precision medicine, collecting and analysing various big data are needed to quantify individual patients. This paper first discusses the need of using data from molecular level to pathway level and also incorporating medical imaging data. Different preprocessing methods should be developed for different data type, while some postprocessing steps for various data types, such as classification and network analysis, can be done by a generalized approach. From the perspective of research questions, this paper then studies methods for answering five typical questions from simple to complex. These
questions are detecting associations, identifying groups, constructing classifiers, deriving connectivity and building dynamic models.

Key words: analysis methods, big data, precision medicine