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SW1PerS

Version: 1.0
Date: 2014 05 30
Author: Jose Perea

SW1PerS detects periodic patterns in signals. It measures the existence of a distinctive pattern in the graph of the signal, and quantifies the extent to which it repeats. The quantification step uses topological data analysis to measure the circularity of a point cloud derived from the time series.

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Local Edge Machine (LEM)

Version: 0.5.9
Date: Sept 20, 2016
Author: Xin Guo, Kevin McGoff, Anastasia Deckard, John Harer

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.

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