Supplementary Information: Detecting Pre-disease States by Temporal Differential Network

نویسندگان

  • Rui Liu
  • Pei Chen
  • Yongjun Li
  • Xiaoping Liu
  • Luonan Chen
چکیده

A Theoretical background S2 A.1 Theoretical basis near critical transition point . . . . . . . . . . . . . . . . . . S2 A.2 Three states during a critical transition . . . . . . . . . . . . . . . . . . . . . . S8 A.3 Identifying the switching point of stationary Markov process based on inconsistency score . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S8 A.3.1 Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S9 A.3.2 Deriving the HMM based on an unsupervised learning procedure . . . S10 A.3.3 Calculating the inconsistency score at a testing time point t = T . . . . S16

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تاریخ انتشار 2017