Published September 21, 2016 | Version v1
Journal article Open

Local Edge Machine (LEM)

Authors/Creators

  • 1. The Hong Kong Polytechnic University
  • 2. The University of North Carolina at Charlotte
  • 3. Duke University

Description

Local Edge Machine (LEM)
Beginning with time-series gene expression data, the Local Edge Machine (LEM) seeks to find functional
network models capable of exhibiting the dynamic behavior of the data. It combines nonlinear kinetic
equations, a Bayesian framework, and a local approximation to the system of differential equations that
relies on sparse priors.

Files

LEM_codeImage.zip

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